I think we'll go ahead and get started. It's almost five after we want to welcome everybody to our blended research at the Library series. This is our second panel discussion that we've held and we're delighted that you're here. The theme today is brain connections advances in neuroscience we're absolutely delighted to have four panelists join us. Each is going to present a little bit on their own research and then we will have time for an extended question answer period so we hope that you can stay around we do know that students often have to run to class. So if you have to leave at the hour. We understand but if you can stay for more interaction that would be great as well our speakers are going to speak in the order they're sitting here we're going to start with Dr Drew are to and Dr Doherty is an assistant professor of psychology received her Ph D. in two thousand and four in neurobiology from the University of California Berkeley and her research areas are in cognition in brain science and cognitive aging our second speaker is micro do lists and Michael is currently working towards his P.H.D. in the school of psychology and he's a member of the memory and ageing lab. He graduated with a B.S. from the University of Michigan and he double majored in brain behavior and cognitive science and English. Michael also received his master's degree in psychology from Georgia Tech in two thousand and eleven his research is primarily focused on memory changes throughout the lifespan particularly memory for contextual details do is our third speaker and is also currently a Ph D. student and he is in the culture department of biomedical engineering. He's a member of the Laboratory for neuro engineering he received his master's in electrical and computer engineering from the University of British Columbia in two thousand and nine and he received electrical engineering from say Jang. His university his P.H.D. research seeks to understand the coding principles and the primary visual cortex to complet computational modeling and last but certainly not least we have Dr Robert Pugh Tara who is a professor. With a joint appointment in the school of Electrical and Computer Engineering and the Department of biomedical engineering here at Georgia Tech. Robert received from Georgia Tech in one nine hundred ninety one and his Ph D. from Rice University in one nine hundred ninety six his primary research is in the fields of neuro engineering. So you learn systems science and real time instrumentation. But that if you would join me in welcoming our first speaker. Thank you. OK So thank you for the invitation I'm really happy to be speaking with you today so I'm a cognitive neuroscientist and what that means is that I'm interested in understanding the neural basis of human cognition of your cognitive science that's that's really what we're talking about I'm specifically interested in a certain aspect of cognition it human memory. I meant to tell you a bit about the approach that I use to addressing this area of research so human memory isn't just one thing it's very complicated composed of several subtypes and not even showing the whole branch here which is short term or working memory here I'm just showing long term memory long term memory is memory over a period of minutes two hours to potentially forever. This is the long term memory tree kind of the classic tree and I'm not going to go over all of it because I only study one branch of it you know there's implicit memory which is memory for knowing how to drive a car knowing how to ride a bicycle knowing how to write with a pencil. There's also explicit or conscious memory and there are memories that we have for facts knowing the days of the we. The colors the rainbow cetera. And the subtype that I study is called episodic memory and this is memory for events that we experience when you think of your memories I remember going out to dinner last night I remember my birthday party last year that's episodic memory this figure is meant to show a few very important regions of the brain the support episodic memory formation and subsequent retrieval including the frontal lobe right in the front and the temporal lobe and these there are other reasons too. But these are really the the most important regions that support episodic memory ability and I'm going to touch on this again when I go on. So why do I choose to study episodic memory over all the other possible aspects of cognition. The reason I think is important is because without it we would have no memory for events that we've experienced. So for example a recent trip I took to Venice with my husband memories for all the amazing things we saw all the great food that we ate not in Venice but another set in Italy and just the great time. Overall I wouldn't have memory for any of that trip I took last year with my nephews who got to see snow for the first time or so the joy of that they were you know experienced. It's a little dark but that would be totally lost. I would have no memory for that experience and these episodic memories don't just have to be individualized autobiographical experiences can also be memories for events that we all have some knowledge of so some of these are positive some of these are negative a year ago in September to ten years ago on September eleventh. Many of us probably remember where we were when we heard or maybe we were there in the city who really with what were we doing it was such an emotionally charged day that you likely have a very strong memory of that day and it's. Unlikely you're going to forget any time soon. Maybe ever. So collectively these experiences inform who we are and really shape our personalities. This is why I think it's important to study. So if we look at the various kinds of groups that have episodic memory impairments we see there's quite a few and this is just a few of the types of people that do healthy older adults. So as we age we have episodic memory decline this is an inevitable. Not so fun consequence of the aging process and I don't mean you know seventy years old. I mean the starts in the forty's so something to look forward to. Patients with damage to the frontal lobe in the temporal lobe as a kind of show in that first figure these two regions which are quite large regions are really important for episodic memory ability patients with dementia. Various kinds of dementia Alzheimer's being the most common type of dementia these patients have profound episodic memory impairments above and beyond what you see with healthy aging and then patients with Parkinson's disease which is something that were recently discovered we didn't use you know pages of Parkinson's have motor impairments but actually they do have some episodic memory impairment as well. So it's really this aspect of cognition that can be affected by a multitude of of causes of neurological causes. So this is a hugely important area of research not just for understanding how our episodic memory you know young healthy adults episodic memory kind of helps us define ourselves but also for understanding how you know what's going on in these neurological patients. How might we develop treatments to help their memory impairments this is something that we do a little bit of in the lab actually in my lab. So in pursuing this line of research I found that one method alone is too limited and so I utilize multiple complementary approaches in my in my work for example I use behavioral measures to assess the factors that affect episodic memory this. It's just simple paper pencil person computer interactions. You may be more interested in how emotion affects memory or gender affects memory or stress in fact one very common way you undue stress in these studies is you film people while they're giving a public speech and people find it really stressful so I'm a heightened at the moment. So we use these different kinds of behavioral manipulations experimental manipulations to assess memory in the lab. We also using or imaging a couple different types electroencephalography measures measures neural activity in excellent with excellent temporal resolution. Basically as it's happening. We also use magnetic resonance imaging or M.R.I. to measure the structure of the brain and functions of different areas of the brain while people are forming memories and retrieving those memories and we do this to investigate the neural substrates of episodic memory and then finally we do some patient work. Basically the neural imaging data is great. It lets you know what areas of the brain might be important for episodic memory but it doesn't tell you those reasons are necessary. Maybe it's actually phenomenal that you see these activations so the patient work where you look at a group of patients they have damaged your region A and you say now their behavior is impaired they have episodic memory impairments that gives you some idea that that region might be necessary for episodic memory ability. So now show you one example of how we use behavioral measures in the lab to test episodic memory ability and we do this with young adults and older adults and my graduate student Mike will tell you about some of the aging work that we do. So I hope you can see this. But here's an example of a study that we recently did where we were interested in the idea of the effects of emotion on episodic memory in young adults. So whether it's hindered or enhanced by emotion isn't entirely clear. It's a little bit of a murky story and what we did was we had. Come into the lab we had them sit down at the computer and study pictures of emotional and neutral images or images that were emotional or neutral somewhere neutral like a rolling pin most people to have an emotional response to that some are positive like a little baby kitten with Frog ears most people find that to be quite positive and some are negative like a trench on the shoulder or snarling dog or they get a lot more graphic as Michael knows. So these are emotionally charged picked pictures and then the rolling pin or a chair would be a neutral picture. And the reason or the way we have people study was we had them answer one of two questions about these objects. Do you think this is a common item seen picture. Or do you think this is an indoor outdoor scene and we don't really care about that specific question. We're just interested in enhancing memory formation and if people don't do anything with these stimulate it's really hard for them to remember them. So this enhances memory. It also gives us the chance to assess memory for some kind of a detail about that event so later when we tested their memory and this was the same day that many minutes later we asked them if they had seen these images before and also what was the question that we previously asked you about that item and this is a type of episodic memory detail we're trying to assess here. And here's what we found episodic memory accuracy defined as memory for that question that you had previously answered about that item was worse worst for and negative items and best for New try to mess with positive items in the middle so episodic memory was actually impaired by the negative images and what this suggests is that emotionally evocative information sequesters your attention and draws it away from your ability to encode neutral episodic details and this is actually something we know quite well from. Eyewitness testimonies so there's been work done for many decades showing that. People who are eyewitnesses to some crime they often have fuzzy memories. So they might remember very vividly the gun being pointed at them by the perpetrator. But they may not remember the clothing of the perpetrator or the face of the perpetrator. It's sort of amazing how the attention is drawn toward the emotionally charged item that gun is really important if it's being pointed at you but maybe less important is the car that the person is driving away at so this is the problem with with eye witness testimony is meant much of the time so we also do imaging in the lab him explain. One recent study that we did that where we used their imaging and why we used it so this is the device that we use it's an M.R.I. scanner. This is actually the type that we have here at Georgia Tech at the Center for Advanced brain imaging on Marietta Street. Some of you probably the been there before and what we do is we have people lie down on this bed. We roll them into the scanners of their head is in the bore of the magnet and through some complicated physics that I'm not going to go into now but we basically capitalized on the properties magnetic properties of the body in the brain and we can measure structural images of the brain take nice pictures we can measure activity in the brain as it's happening and what we were interested in and what we've been interested in the lab for little while. Is this question of something we know in the literature that suggests that when you think about yourself when you're in coding new information it enhances your episodic memory accuracy. So when you think about your own feelings about this event or your own autobiographical biographical experiences it enhances your memory. So this is a classic example we use I might ask you to come in study some words does this work on us. Describe you are you honest are you brave are you joyful Alternatively I may ask you to make those same discriminations about words you know do these words describe Einstein or Abraham Lincoln or President Obama. And your memory will be better for the words that you included in reference to yourself. This is called the self reference effect in memory and what we don't know so well is what brain system underlies this effect. The reason this is interesting is because there are many patients with different kinds of brain injuries different kinds of pathological pathology that have spared self reference affects the memory. So it's really interesting to understand what brain systems underlying this benefit if not these other these brain systems that we know are damaged and don't seem to impair it. And so this is data from a functional magnetic resonance imaging study which we measured activity while people were forming these memories in one of these two conditions the self reference condition or the Einstein condition and we found that memory accuracy was better for the self referenced words that activity in the region of the brain called the medial prefrontal cortex which is in the front and medial kind of a slice like right through here. I could be in that region supported memory for self referenced words. To a greater extent then words that were encoded in reference to Abe Lincoln or by Santa Clara who were used in this experiment so. So that's one question that we could only address with a with a technique like F. M.R.I. and behavioral analysis alone wouldn't be able to do that for us. So while the neuro imaging provide some evidence to suggest that some regions might be important for a type of memory or episodic memory. We don't know if those reasons are necessary. So we do some patient work to address this lesion studies refer to this type of research tumor investigating patients who have lesions to particular areas of the brain. This is in contrast to patients studies looking at patients with dementia or other types of pathologies that are more widespread in the brains difficult to localize what brain areas are specifically important when you have broad widespread damage focal lesions caused by things like stroke aneurism. Maybe traumatic brain injury are our focal so we can assess whether that specific region that's damaged is important for episodic memory. There's one region of the brain called the dorsolateral prefrontal cortex that may contribute tap a sonic memory. We know this from F. M.R.I. work. This is a study that I did where we looked at a group of patients with left damage or right or slight or all damage and in this figure the left patients are on the top the right on the bottom and what this is showing the color chart is basically each patient lesion so we drew them on to the map here on the brain and where there's red one hundred percent that means one hundred percent of the patients in that group have damage in that region and so we look at this kind of overall map of the patients damage to make sure these patients have damage in this region there can be included in the group and so we are looking for maximal overlap in a region of brain called the door slot or prefrontal cortex. OK so what we found in the study was that was left but not right. Dorsolateral prefrontal lesions that impaired episodic memory accuracy and this was a study kind of similar to the one with the emotional pictures that I showed you. Except there were emotional pictures in the study but similar kind of design and so what this suggests is there's something about the function of the left or slot or prefrontal cortex specifically but not so much the right that impairs episodic memory accuracy. We're investigating now what that is but this was the first piece of evidence to suggest this the control group here this is a term for your Basically your group of subjects that are matched in age education to your patients but don't have brain damage their baseline basically so I hope I can convince you of the benefit of a multi disciplinary approach in investigating human cognition. One method alone isn't sufficient to fully address the mechanism supporting episodic memory. That's how. I feel behavioral studies can assess the importance of certain factors like emotion gender stress different types of images that you're seeing or hearing in your imaging can assess the importance of certain brain areas. You know what regions are involved in supporting encoding of emotional information for example and patient studies lesion studies can assess the necessity of specific brain areas. So I just want to thank everyone here and I also want to thank my lab because I don't do a lot of this they do they do all the work and one of them you'll hear from now. So thank you very much. Thanks everyone. I'm Michel do IT work with Audrey and your sex memory aging lab so I'll just go to you about half of that memory and aging she spoke about the memory part I'm going to talk to you about the aging part. So why study healthy aging you might think Well is it more important to look at people with Alzheimer's things like that but as important to stand what happens with healthy aging so you can dissociate what's on healthy about Alzheimer's things like that and the bad news is that as well as we head to that even with Healthy Aging you're going to see declines in cognitive function you can be seeing the Carnes in actual brain volume things like that. So it's important to understand what's happening there. So support me as everyone age is unfortunately all of you are going to age and currently in America the aging population is on the verge of just expanding exponentially as baby boomers are approaching the ages of sixty. So it's especially critical now that we sort of understand what's happening with the brain and aging so that we can better accommodate the growing aging population so to start off with a bad news. Your brain is shrinking. Even even now if you're over twenty years of age your brain may be showing signs of shrinkage this happens with age with your muscles in your bones and just like those your brain is going to be shrinking in volume as well. Everyone's brain is shrinking at different rates though but things like the initial size of your brain or your education level really are going to influence this your brain is going to shrink at some rate when I say shrinkage I don't mean that like cells are dying off in your brain. John what this means is if you know anything about neurons they have very large were called dendritic trees so it's the connections they make to other neurons and those dendritic trees start to become sparser and sparser with age. So those cells are still there. They're just fewer connections things like that. Additionally that your brain is not all shrinking at some static rate certain parts your brain shrink much more quickly than others. So here are two regions that really shrink a lot with age are the prefrontal cortex and the hippocampus the prefrontal cortex as Audrey says involved in memory. It's also involved in attention in executive functions decision making. It's involved in anything that takes a lot of cognitive control and as you can see even starting the age of twenty yards start to see declines there and same the hippocampus have a campus especially critical for long term memory and that again. Even as early as twenty you start to show signs of the car and this in contrast to other regions such as up towards the back of your brain your occipital areas your visual areas those tend to be pretty stable over the age but you can see there's Because in the actual volume of your brain as you age and this in this your actual cognitive function is going to be declining as well. Now granted not everything the Kleins So what this graph shows is scores on tasks that are generally assessing certain parts of brain function. So things like vocabulary are going to stay pretty stable crossed what time. So even your old age are going to remember what syncopated means things like that but. Pretty much everything out really declines pretty drastically as you age and depending on who you ask these may actually speed up and how quickly that applying as you get older and older. So things like just your speed even you'll be slower to process things you'll have be able to keep less amounts of information in your mind at a given time you'll have memory declines and for our lab we're particularly interested in this long term memory as Audrey said and that ability to remember contextual details seems to be particularly impaired by aging so well solar Galt's report that they can remember if they've seen some before but maybe they can't remove the details about where they know them from or their name things like that. So that's why we're particularly interested in that form of memory with ageing is that seems to have the most impairments so what do we do our brain is just resigned to declining in all of us having a skull like this or is there something that we can do to improve the brain density or improve at least cognitive function and thankfully we are able to do something so until recently it was actually thought that once your brain started shrink you were just resigned that the brain didn't have any sort of Regenesis or anything like that but recent evidence like the last ten to fifteen years actually shown that your brain can grow those dendritic trees and you can actually regain density and your brain so obvious the critical question is how do we do this. How do we complex that and one of the easiest and most effective ways is actually exercise so simply doing our exercise which in the study here was as simple as walking three hours a week for six months that actually led to increased density and several regions of the brain. So the important ones. If you can see in the middle part of the right if your frontal gyrus that's part of your prefrontal cortex. That's important as well as you point out for a lot of things. Also on the A.C.C. here at the end here single cortex that's important. In sort of updating of information and reward learning things like that. So these aren't just random areas these are actually important areas for cognitive function and you're actually seeing increases in density for just from simply walking three hours a week rather than just being sedentary. So this seems very easy but this is one of the best ways to do it. And this is actually an older adults or people who are already over sixty. But if you start doing it now you're actually getting neuroprotective effects so if you are physically fit a younger age you're going to be less it's going to be less decline over the years as well. So certainly I recommend getting out and at least walking. Even now in addition it helps your body and this makes a lot of sense when you start thinking about it. So while the brain is only about two percent of your body. It takes up about twenty to twenty five percent of our energy energy being transferred around basically through the cardiovascular system. Thus having a better vascular how to better brain health and further beyond just your healthy aging better cardiovascular health can actually prevent or poor cardiovascular health will actually raise the risk of several neurological diseases all timers is actually morbid or often occurs in conjunction with cardiovascular disease on the actually type of adventure called cardio vascular dementia which is a result of many strokes in your brains you may not even realize you've had this stroke it's just a small stroke and but these will build up and cause dementia as well and obvious the stroke in itself is the one that will affect your brain and is more likely when you have poor cardiovascular health so exercise is certainly a very important way to do this. There is research out there about things like you see things about brain games or doing crossword puzzles or sudoku So there's not a lot of strong evidence to suggest that that's going to help your actual brain volume or cognitive function the general sir if you're a stick with that is though if you enjoy doing it. Certainly keep doing it. It's not hurting but it's not sure if that transfers to other things outside of you'll just get really good at crosswords but if you like crosswords go ahead and do it but what else can we do so let's say the actual size one of the strongest evidence is in our field of re growth but if we're not worried about actually regrowing and even with that you're still seeing declines in brain density is this I'm going to at least to improve the cognitive functioning. So even the face of these the clients there are methods actually that can support cognitive performance in older adults. So one of the findings is not to cause older adults can't perform as well as younger adults sometimes it's just that they don't do it on their own. So this brings in the idea of we can provide environmental support for older adults and raise their level of performance so obvious talk about self referencing and I'll show little data on that as well with older adults. There's also things of just simply directing older adult attention to specific features and then one that not to talk too much about but also helps if you make things relatively more distinctive older adults can benefit from that as well. We know that young adults also benefit from all these things but basic ideas these are also effective for older adults. So I won't go too long on this and solidarity describe this a bit but self referencing again is something that's effective for young and older adults to producing deeper processing of your stimulus or whatever you're trying to remember by activating self relevance as this goes to be above and beyond just asking them to process something more deeply. This is because you're activating the self relevant schema or sort of what's relevant to yourself you'll be having better memory obviously are sort of two ways that we do this in our lab one way simply to ask if someone finds something pleasant. Now I kittens in our labs I also picked a kitten picture but simply asking if you find something plugs are not really taps into that because you have to make a judgment based on your personal feelings or you can describe something ask if you describe yourself as something as opposed to just asking like is a bigger machine by. So behaviorally the behavioral stuff here is again trying to remember that contextual detail which would be too far. Which would be which question you are asked you can see that in the dark grey here both groups are benefiting from self-referential performance on that. So it is an effective way to boost performance in older adults now in this case older adults still have four younger adults overall but this was also a very hard task that's not surprising but I have over here is actually data from our E.G. So object touched on it briefly but each year about your own stuff August B. is actually measuring the electrical signals that are coming off of your scalp. Now these are on a couple of Microvolt So that's ten to the minus six volts. So very tiny but they are measurable and which you see here is the self-referential facts in the older adults actually cause data or cause effect. Come on line earlier than here. This is something to turn over to disaster common or not. So you're actually improving the efficiency of processing and this is when they're trying to remember the items so all we did was doing manipulation when they were studying the item and that's producing results when they're actually trying to remember it and actually causing older adults to process things more quickly or more efficiently than if the we didn't support their cognition the other manipulation we try doing is directing their attention to whatever feature it is we want them to remember that seems very simple basically pay attention to this so in this case we'd be asking them if the color of the object is likely so is a blue paper likely you probably say No versus if we just simply ask is this bigger than a shoe box. So again as I said sometimes it's just a matter of the older dogs don't actually spontaneously gaijin the sort of elaborate encoding if you were just at show them this picture of a blue pepper and later ask them the color of it. They may not have taken the time to really think of blue Pepper is that make sense at all. They may just passively viewed it and done nothing but doesn't mean that they can't do it. And that's sort of what we were looking at is whether if we basically force them to do it whether that will actually help them were adults show again is that so we can match performance on these by making pastoral easier for the older adults but again both groups benefited from our explicit direction of attention and again I'm showing E.G. David here and you're going to look at what actually easy. What we're seeing these are Howard is the black lines being when they correctly get a whole lot of rights. They say this is old and see the same or different color of the gray lines there are when they're saying that I missed you or we didn't show you that in the beginning of the experiment and again with the older overseeing this earlier earlier splitting of what's old and new or earlier old you were vast for the direct attention as opposed to non direct attention. Both are shown later effects again. So similarly to self referencing older adults are benefiting from simply just saying Pay attention this or directing their attention. So again they pan successfully direct their attention and do this elaborative in coding they just don't always do it on their own and we can simply by directing them to do it improve their memory and this is a study from another lab showing that with enough support you can actually get older adults to be at the level of younger adults so we're just seeing here mostly focus on the associative there's a gathering word pairs on in this case they were told when they were studying items on this associate strategy they were told to generate a sentence involving them as you can feasibly generate a sentence was already in permit holder golf no strategy and then when they actually read when they were trying to remember they were told to try to actually think of the sentence you generate around just trying to remember it. You see at this point with the support of both study and half full or both your results are actually coming to about the same level. So again another support you can get older adults to that level of performance of younger. Adults under the right conditions so again it's not that they can't do it. It's just maybe they don't do it on their own. So in conclusion. While Aging does result in these in brain shrinkage and deficits in cognitive formants It's all is not lost exercise interventions can actually result in a healthier or increased density in the brain and it can prevent neurological disease and again it's never too early or too late to start exercising this helps young adults as older adults and behavioral meant interventions can improve performance just an overall can still perform the same level of young adults just under proper conditions and this may be true even with older adults with neurological diseases so there is evidence even in all timers disease that you can proper strategies they can remember at least two for example they can't run with are supposed to be doing they can remember. I need to go work on the refrigerator for what I'm so sorry doing today. Things like that. So that's part of my talk and I hope you agree now that isn't studying how the ageing is very important and that we all not doomed to age related loss of memory and things like that. So thank you so much for. Take a few seconds to load but first I'd like to look at how it's presented to us. So first of all I'd like to thank you for this opportunity and thanks sort of first two speakers I think it's printed a pretty dismal but hopeful picture of where you get owed and things would change but I'll try to revive some of the confidence you have had to your brain. So I'm going to introduce to you what I think a pretty important and are you ready on the aspect of theoretical neuroscience think it has implications everywhere. You know life. So let me start off we've shown in this example I'm pretty sure if you use Internet. You know card capture base unit. It shows you a series of contorted letters and ask you to transcribe it all this is super easy what humans. I hope hopefully sell but it's really hard for computers. It's for about here. Sometimes it's hard. So you started to ponder why this is the case it actually points to very important differences between how the human brain and the computer works right. So for humans. Humans are great had this kind of pattern recognition like recognizing faces and everything and but computers on the other hand agree that number crunching I believe except most people are engineers people are generally pathetic and so where does this ability arise write if you know a little bit about brain and computers and easy answers that. Well the structures are different. So the human brain is parallel. It's pretty fuzzy but it's pretty robust computers here serial here are accurate but it's tremendous easy to break. If a transistor breaks the whole computer might die but with aging you know your brain shrinks but pretty much you would still be you. So what I'm going to point out here is there's a human dimension here that people usually more than look at these pictures and tell me which of these dots are curfew mortars and pretty sure most of it was say on these two and those who are there are curving words right now we see that but if it's a stop to think about it. It's really weird because you're imposing a certain bias on your perception. There's no knowledge here that house you know information or that house you back to where the life force is coming from but somehow you have the scene here and model that inherent bias in this perceptual task. So the natural question arises where does this bias come from a possible answer is must come from the environment because you perceive the light coming from above every day. Maybe through evolution or learning slowly bit of this model and you expect you have this bias that most probably if you're shown this novel is saying that the light sources come from above. So this points out a very important issue that the environment has a lot to do with our perception and maybe how the brain works if this is too hard to understand then think about the amazing varieties of body features in animals. Now these three animals hummingbird ostrich and Penguin they most probably have the same ancestors. But because they live in different habitats their body shapes were shaped by the environmental forces to best adapt to the features in their individual habitats. So it's intuitive to ask do we expect the brain to exploit the same features now were environment and we should expect so. But somehow maybe unfortunately that in classic when your science is special in sensory neuroscience environments natural environment is Nobbs was not sure of part of the picture. So here I showed you what I show you here is classic experiments done by human weasely nine hundred sixty S. I should point out they won the Nobel Prize because of this work. It's pretty amazing. So what they did was they showed a notice here an artificial stimuli maybe a bar or grading and what they wanted to study was the visual pathway which includes the retina which transfuse is optical signal into electrical impulses we call spikes this. I tried with that was the. On the optical nerve and arrive at our G. N. is a structure in the middle of the brain which relays the signal to the first stage of visual cortex which we call the primary visual cortex. OK so what they did was they dropped electrodes into the primary visual cortex and started recording from it. Now they could literally by connecting this actually to amplify they could literally hearing the spikes coming out of this area of this experiment to an animal what it would be found was really interesting what they found was that for each of the cell we studied only part of the visual feud was successful at evoking response in certain sounds so for example for this say if we put the bar here in the visual food the cell which respond but for some other cell with this kind of property line that the bar here. It would not respond. So this is what we call receptive food it's it's kind of a model of how you summarize the receptive to how you summarized response properties from these neurons. But notice here if we use these artificial stimuli they're great at answering questions in the form of what the response properties are but they could not give us information of why does the brain work like that. Why do they have responses. Properties that is selective to our intuition in the visual scene. So from the intrusion I gave you from previous lies and has a question is could incorporating the structure of natural scenes provide more information provide answers possibly answers to the why question. So before I delve into this problem. Let me give you an illustration of what I mean by structures in the natural scene. OK so I'm going to show you a peer review the story behind the view is that this guy Loren carpenter in ninety eight he was approached by Boeing and was asked to do animation of flight simulation. So at that time there was no known technology that could generate realistic looking natural scenes so what he wanted to do was to generate backgrounds of mountains and let the other plane fly through it. So the time there was no no not technology. So he's frustrated by this. Remember it's nine years long before possibly most of you were born. So he he he he. But one day he stumbled upon this book by a French French American mathematician Mandelbrot It's called fructose geometry of nature. So one point made by man to Broadway is that the things are structured one property is important. Probably started scaling Behrendt. For example if you look at a mountain. It looks pretty jagged but if you look at it. Rock on the mountain it still looks pretty Javid So there are some here and structure in nature. So this kind of couple utilize this kind of observation and in three days came up with a pretty amazing technique to generate noise. Looking scene. Not sure why it's so dark but hopefully you can have a glimpse of this ninety eighty zero type technology but the more of these stories that at least some structures can be abstracted into into mathematical form what we cost to test a structure such as these scaling Veron structure and if a computer can utilize these structures to do reconstruction tasks then could the Bring be utilizing similar structures for perception. Now before. And before you answer that. Let me explain what I mean by exploiting the structures so here's an example if you look at two images. One is a circle the other is a white noise which is just random running battle pixels and I ask you how can you represent these two pictures now a naive strategy is that you can sample these two pictures pixel by pixel will probably require millions of numbers but since the circle has more structure in that high school students will know that it can be represented in three numbers. OK On the other hand because the white noise thing doesn't have any structure in it you cannot reduce it to a simple representation of these sets of intuition. It's no surprise that people begin to wonder does the brain really explore the structure in the natural seem to answer this question people approach it actually from the OP. The directions so they assume that what do you the we assume that the brain is exploiting natural seeing statistics. What would happen. So the question the posed was if we assume the representation is concise and accurate and that the brain uses statistics and statistics. What kind of response properties should we expect of these are the response properties we should expect if we make these set of steps sumption Zz compared back to the experimental studies results. Amazingly we could actually do ride these where we cover such a few structures by simply making the set of simple assumptions and taking into account the knowledge of the natural scene or to Ricky to recap what I'm trying to the message I'm trying to convey here is that the brain is not separated from the environment it is constantly trying to use its knowledge of thing Vironment to make better and efficient representation of feel toward the examples I gave you. Well from vision but there are parallels theories. You know addition and affection as well on these theories can go on to name Asian bring hypothesis explain a lot of other perceptual and motor behaviors. Now the working are only consist of two parts one is to bridge this abstract theories with biology the other one is to design better engineering systems. That similar to the brain utilize the structure in the environment. So if you're interested in this kind of topic. You can check out these researchers Chris Rizzo's my advisor. There are several of your science books you can read lots from the east. Are you talking about efficiency efficiencies in the brain today but there are several books that point out what happens if the brain fails right. Like what if you have a stroke that is kind of contrasts the viewpoint. I have made today. So with that I might talk and over enjoy it and we can have more discussions afterwards thank you to make it work. Yeah you just lose your house and you know that there are three things which are just the minute you know you go you know it's like you know it's worth it. I think it's great to be last year because I knew it wouldn't fit in one hour. And I have to teach at noon anyway but I told my students I'd be ten minutes late. So my talk of be a very different contrast from a thing else you've seen. I'm an engineer by degree but. Both my Ph D. of those my postdoc I was basically mentored by neuroscientists and this topic is actually different for me because most of my work is actually at the level of cells and small circuits using electrophysiology in competition of modeling we stick electrodes in neurons that underlie small circuits that are related to like going to the big picture things destroyed everyone else talk about. This is actually my first project that I'd actually say is solidly in the area of neuro engineering. So what is neuro engineering neuro engineering kind of has two definitions one is applying engineering techniques to the quantitative study of the nervous system the scientific side and that's where I spent most of my career but the other area is more what engineers do which is trying to develop ways to modify improve repair or enhance the nervous system function and so this talk is about the peripheral nervous system. Let me give an overview everything you've heard about so far is from the brain. Everything I do in my lab is typically from the brain stem to spawn a court perform nervous system all that other stuff to give you a basic overview. You know think of the brain as being you know where all the decisions are made but we have this complex nervous system that basically has inputs and outputs the inputs are sensory information and those are things like Tuck's pain vision that carried from a ship the periphery back to your brain and then there's also motor information. So your brain telling your muscles to do stuff not just walking but you know my active talking with my vocal cords are doing that. Looking at you. Looking around the room and essentially if the brain could take input or generate output then it's just sitting there in a black box doing nothing. Nobody knows about it's kind of the tree falling in the forest. It's all going to talk about the first full nervous system which is that part of the nervous system. Typically after the spinal cord that conveys that information either your muscles tell them to move or contract or as well as convince answer information back. That's a pretty nervous system to give you a. Sense of what these nerves are you could think of a nerve is like being a bundle of wires. So here are some cross sections of a flat nerve the nerve is the big bundle of nerves by various And then every nerve bundle has these smaller bundles called vassals and every one of these in the business are fossils as individual buyers so when you talk about say your Sadeq nerve. There's actually thousands of fibers in your Sadeq nerve. You could think of each one of those fibers as being like a wire that carries information but it has some properties a little bit different than a wire. First of all. And each one of those individual wires informationally flows in one direction. So in the psychic nerve here. Some of these nerve fibers are carried from ation out to the leg and saying Move your ankle move your move this muscle other ones of those little dots in here convey information back like you just touched a hot stove so like see fibers can be pain reception one of the holy grails in neuroscience is how do we selectively stimulate a nerve fiber especially in the case of a paralyzed patient. You know we can put electrodes around the fiber and we can shock the whole thing but we don't yet have an ability to say I just want to stimulate this little region right here and I don't know where US No this is blown up that typical nerve fiber there is less than a millimeter across and the State of the art of our technology right now is use of a big electric around it so there are so technology is amazingly limited we don't know we know very little at all about how to intelligently stimulate a nerve fiber and yet they're still progress being made these techniques are used to things like bladder control for quadriplegics where the certain nerves have to be stimulated to you know allow the bladder to actually contract. When we test your fibers we actually make measurements of what are called Compound X. potentials already in electrical field around that fiber. You saw that the E.G. the amplitude is about one Microvolt It's very flat very. Tiny these compound actually potentials. They tend to be in the range of ten to a few hundred microphones so they're still pretty darn small if you think about it's actually a very noisy measurement in this data is actually very clean looking for technical reasons I won't go into but it's a very hard signal to measure but it's ten to a few hundred. Michael it's long but these come out actually tensions tell us something about the information on this nearby here and I should mention this is not normal information. These are from experiments that are kind of analogous to you don't you're a kid you have a garden hose or a rope and you snap at one end of the wave propagated down to these experiments are were quiet What will shock one into the nerve and it's actually stealing these fibers respond somewhat differently and with different propagation speeds. So that we measure that fire somewhere downstream resume in and you see get away form shapes and those actually correspond to different subtypes of fibers being stimulated and how they propagate that information. So this is we have to go on actually tensional and we can reduce down into what's widely recognised to say he'd buy a response this way or here in the C five responses that we form there. So this gets the mind Now the other point is argument as analogy about snapping it and stepping a hose in the way of propagating down his eye so that you see responses because those are actually the two we can measure and also happens that these crawl on the Miley didn't have active duty. These are a certain kind of neuron that propagate information very fast and actually our effort outgoing information that tell your muscles to contract in this corresponds unmounted activity see fibers and in particular one of the things the fibers do is convey sensory information back especially pain receptors. So we can trigger both classes of fibers in this nerve at the same time and measure them downstream to see if that information is actually passing down the nerve or not. So this is a standard approach I haven't told you why we do that yet. So here is why we do this and I got in this field by accident. As I was reviewing computational modeling papers in this field for years and I decided they were very and satisfactory and we realized that we had an animal model in our lab it's actually an invertebrate sea slug that's commonly used in learning and memory called a policeman and it had some properties and I said it. Everyone does this work on mammals. We're going to try this and vertebrates and I don't have time to talk about it today but we made a discovery that was kind of accidental surprising try this out as a sort of a side project for a grad student and this actually led us to the experiments are going to present today. So sometimes accidental findings totally change someone's Ph D. topic and completely new direction with what happened with the student. But anyway we're in the field called high frequency conduction block that if you take a perfectly nerve and you apply a stimulus still in the range of three to fifty killer it's the creates a very localized region of block where activity can no longer propagate in either direction. There's no drug required you could turn it off immediately. This is been heavily research for about twenty five years by researchers mostly at Case Western and they've had many spin off companies for devices for bladder control for quadriplegic for example using this technique believe it or not they don't really know how it works and I'm more of a mechanism kind of guy I want to know how it works and that's why I went to simple in a models and we haven't figured out how it works and that's another talk. But we made this interesting finding all these people who are studying block right now it's an all or none thing they block the entire nerve activity going in both directions. So for example if you pretend that this green line here is a nerve fiber we can stimulate activity if you measure here and then downstream you measure similar waveform to lead in time down there. If you apply the ten kilograms waveform right here and acts like a brick wall so that activity and this there can't get past this point. And so we measure the response down here or the single in the other if there is activity propagating this way can't get this point where say this ten killer stimulus is another electorate and. We measure no response. Over here. So it's by directional it's all or not we recently showed that I just decided that the paper title pretty much said it is that if you look really really carefully at a level people have looked up before this form of block can actually selectively block different types of nerve fiber and again we this is based on a discovery in a simple invertebrate animal that we realized we had to test mammals and we will do for a nerve fiber that had both types and we chose a static nerve a frog because it has one facet cool it's a very clean signal. And that was after consulting with several faculty in the pipe physiology department here that kind of knew how these neurons worked in very crude various animal models was a very rational choice of animal. So what I mean by selectively blocks. Again we have a couple that actually can trigger somewhere on the nerve to measure downstream we can see a fiber and we can see to see fire. Well when we apply this high frequency stimuli. At different frequencies and then we measure what's the small Samplitude of that stimuli where this neural activity is blocked what we found is that is a function of frequency in which to this part of the compound acts potential and this part of the compound action and so we're actually blocked at different frequencies and thresholds. And we could exploit that. So for example here is a pretend diagram of the nerve fiber with pretend the blue of the fibers and the right of the sea fibers and this little blip here is the response of the cup and I can just see vibe response. So again it's those high frequency blocking electrodes turned off this whole way from propagates through but we found with experiments that we could slip to block the fibers so here's what we stimulated and on the other side this component got through but this component did not or we just looked at what the eight fibers were here's a complex potential and there's a big component in talking to the block you say but the small component did. And so here is some summary data the entire experiment is this figure is basically the entire paper where this was the threshold of walk with a fibers and the right occur to actually go down or high frequencies that was a star with a working in a bird of manholes is a threshold a block with a C. fibers and so at low frequencies. You could choose a point right here and you could block this activity but not the second body and Mike Wise at higher frequencies. You could choose a threshold right here and that we go there and you could block the C. five A conduction but not the fiber conduction and so here actually experimental examples in this experiment right here the top was before an exam that US and C. component that I had actually attentional and had a low frequency of five kilohertz with the right input to the point four millions. We bought the fire component. This is called a stimulus are actually going to work out what that means but the main waveform superior to the C. fiber component of the syllable propagate it here at higher frequencies with our work cited about the barber propagates through the C. fibers blog so why is this important fibrous carry sensory information. So this says it might be possible that we could actually modify the techniques that heard being tested clinically that if you choose the right frequency and threshold you could for example. Take Ambien we used to Sac nerve example because the common experimental prep. You could essentially block say pain reception and they're actually research. There is research in some fields like dental research of using a logical stimulation but pain reception while still allowing normal muscle movement on that same or fiber they could balking at it could also lead to better control or selective stimulation. So I mentioned that selective stimulation stimulating certain nerve fibers is sort of a big deal in neuroscience using this blocking technique in conjunction with current. Relation protocols could allow you to say stimulate part of an entire nerve or a trunk of a nerve and then block the parts you want to lock it just the stimulator parts propagate down and I'll mention that these results are only on an isolated nerve in a frog. So we've actually dissected the nerve it's sitting in addition the lab we still have to show it in a mammal we still have to show it functionally in vivo and that's the direction we're going in and we're still working on trying to understand the biophysical And so here are mechanisms that underlie this and have my labs computer modeling we're trying to model this as well it's actually been very challenging. No one can make a model that reproduces these results and I believe this is because the people who make these models have this history of thirty years of research of how you model neurons and cells B. if you if you taking classes you've heard of the hot tubs the model. You know about memory conductance is I believe the reason these models don't reproduce these results is because these frequencies five to fifty kilo Hertz are not normal frequencies for the nervous system and there are by physical effects that happen at these frequencies things like the capacitance of a cell membrane starts decreasing at frequencies above ten killer Hertz there's a complex field of tissue impedance studies going back to the one nine hundred forty S. showing a complex in people's properties of tissues above one killer it's there areas of physics that I think traditional it for the ologists are used to thinking about and I think bringing those areas of by physics in which come from fields as diverse as electrochemistry to other fields are going to shed light on possible mechanisms to how this works and with that I think you'll conclude I'll mention that everything in this work was actually the Ph D. of Dr Levy to Joseph she defended her Ph D. last year and she and is now in Ohio working for Proctor and Gamble as a biomedical engineer. If I have a few minutes. I think I would add to it. I did want to mention that this was again an accidental finding. I think says a lot about the rational choice of animal models. I've reviewed modeling papers of this and I was never happy with them going back but seven or eight years ago that they really explained the mechanism when people make computer models just as it duplicates the result doesn't mean it explains your result and that was my concern and I said you know we use invertebrates in the lab. You're the expert and invertebrates if purely in my allotted nervous systems. Why don't you try this exact same experiment on this really simple nerve fiber and it was those original experiments on the sea slug which actually was our first published paper where we show that this threshold goes up and back down again and we didn't believe it. Your very first experiment did it twenty experiments later they all still did it and so even published this paper and the reviewers insisted that we could not see as the general property would say it's just that weird squishy animal you're studying. But then that led us to say well where is an animal model we have both types of fibers and and talking to members of his Ph D. committee who worked in a whole variety of animal perhaps that's how we saw them upon the frog we thought it had the greatest chance of being measurable and showing success and then we can move up to higher animals so that's sort of the back story of how we got here. Anyway thanks for the good part is they were at their own pace you know as you said you are for the king of your career. Now that is most high here nine hundred. You're very non-linear with what you said earlier but this is where we are to be going to really see problems here. Well again I actually think it's the biophysical properties of the brain fishies that have a lot to do with it but I can't get into why a listen. Molly study suggesting that's the case he's actually pretty frequently given passage of the model that seems to account for some of it and there are some other things going on in more than cellular level with the T.V. one more example if you record in our simulations the membrane potential under this blocking stimulus is swinging my few hundred mill holes. We can actually measure experimentally these combinational models are designed for memory be ten to the future bills and back we know from cardiac watches Yalit into cells a lot of pouring transiently about one hundred fifty volts and so that's another factor that we think might be coming in play here yet so I will talk a little brown Yes. So right off his so earlier. Go read his love. Read on actions grow or they are here this week. So you thought he's who he says so. Well that's true. You also can't resist your vision see. How we believe or know how the difference between the brain happens during development and the pretty that's happening with age is in development as you said it's actually becoming more efficient you're getting rid of redundant that Sharon's destruction those that are used over and over but aging it's not necessarily due to the use or any sort of official see it's just you're losing connections you have fewer connections between things so it's more it's more wide scale widespread I guess and so. You're not just throwing the inefficient parts of it you're losing. Sometimes the most efficient then droids as well. So it's not necessarily helping you. It's actually you're losing more what you need rather than just printing out what you don't need I mean it's similar. I guess in physiological sense to our sort of getting rid of them dry interconnections but it's not necessarily helping you because it's often getting rid of the dendrites that maybe you need to ask a follow up to that trip here what what are the major factors of the volume change our whole neurons dying or dendrite tricking back is that if it's absolutely some yes it's mostly it's not cellular death for the most part it was the Healthy Aging it's mostly that last digit volume. Not familiar with supporting structures like after sites and that are the nervous system but I think that probably recent as well as you know on that and that will follow not to the I mean I would imagine there's some little cell death but there's also continued genesis of Health also on dendritic shrinking is trying to be the hallmark of this you know structural atrophy aging. But there is some loss of neurons but that is really excel in apology related things like Alzheimer's knowledge its parts. Things like Alzheimer's. I will say you're trying to use as a whole will slow motion with you soon. Right. So during the you saw these movements. This is a song people along which Yeah that's why they're not in the song. That's right. So do you something like Well I'm someone who is really more attached to simple life really. See how actually that's really like I said life. If you like with the song. Just like right is right and so I'm saying you know look what I mean is that it sounds theoretically possible I don't think there's a lot of dropping electrodes into brains just a cigarette that at seven. That they do some lectures and ranges typically in cases where severe depression things like that. I guess in theory. Maybe you could do that. I don't know if you can do is something so specifically as like a like for cats and things like that but you are right in that everyone's going to have slightly different opinions about the pictures show us what we used as a lot of stimuli so that on average you're seeing similar facts but that even speaks to aging that you see very different facts sometimes between older and younger adults with these positive and negative images and actually sometimes tend to remember more positive things sometimes younger adults tend to remember more negative things so that's very true across even just why mine such as older versus younger adults but as for whether you could stimulate someone in that sense I don't I don't know if we buy our the standard spiel to you that he's not. I mean unless it's your question. So there are a few theories about this some some argue that there is still some breaking down of those functions that they. They are they're not doing it as well. And then maybe throughout the lifespan because it's not as affected their using outlast some is just that maybe because one of my colleagues I just heard there just because of the lazy brain hypothesis where just there as you get older you're less likely gauging these more complex cognitive tasks but I don't think it's really clear defined of why that happens throughout the lifespan or if there's a way that if you were early in your lifespan you could prevent that by like really trying to always use the complicated strategy and it may not apply to everything in the lab situations. Yes we can get people to engage in these more complex strategies but whether that actually extends to real world experience is unclear at this point as you said to have him with his dragon age group and I think we have healthy aging in the brain. So you know sort of pathologies like Alzheimer's or stroke things like that. So we typically screen for older adults for ruling out any sort of cardiovascular disease any sort of brain injury or brain neurological disorder. Even things like diabetes which an early don't include because that can affect brain function. So when we say Healthy Aging always for our purposes we mean more and brain function so someone with more peripheral issues that don't also stand the cardiovascular system we typically would say are still at least neurologically healthy to you and I mentioned it's nice for. And being forced to censor it it's really this one focal area of the prefrontal cortex called the door slot for Texas on the superior part of the brain and lateral and it seems to be these the left stores a letter from her text in particular that's a person inside of memory encoding. So it came to coding new events and we know a little bit more about it now. So there are some variables I didn't mention here. One is the type of materials he used to make her the language has to be lateral I see the left brain and a bit in right handed people in my head it was actually more my life I was really distributed. But I had we used abstract images that are less amenable to kind of semantic sizing then it's possible we would have seen a shift in that Potter and the right deal because he was sorry or thought of progress that may have been more important and so that's a variable that not work has been done. It's really hard to get these focal patients. We there's a common saint in the kind of work that strokes don't respect these areas. So you can have a stroke and Will fact the dorsal from heart attacks but it will also in fact the ventral out of contract and the motor cortex to you anyway so it's a difficult time these patients in the first place but I think part of it is the type of materials we use we use these verbalize a whole objects in that study and another part of it is the kinds of tasks that we have and you may really was tapping into a little bit more about the process is the mechanism supported by the region now which is in support of things like taking discrete parts a bit of an episode and binding them together. So I think there are a few reasons for and I wouldn't say that damaged just to the right. Doors looking from projects with spare memory I don't think that's true. I think it depends in part why you test on the question of us with her. You or others that he doesn't know but it's in the grip pose already because you go. One of the issues with in vivo studies Besides as a working Bebo is to do these experiments people do it for one minute five minutes. That's a really good question. Joinery his question was if we study the long term effects of stimulating these nerves and these frequencies especially the sea fibers. So I would like people to have access to this day and be able to follow. I think what you did day. So would you talk about your life or are you actively recruiting folks that each of you meet where. At the moment I was quite vocal I was not half bad enough to have more than I can get also but next semester I go I'm always looking for excited undergraduates who want to do research for my we have quite a few of them in the lab and I'm also recruiting graduates. So we recruit people who are interested in neuroscience psychology and aging any of those three things. So yes you can say here I think if you're interested you should contact Chris's where you measure the real fear so I'm going to church recruiting students in my lab draws from a diverse range of backgrounds I've mentored Ph D. students in bioengineering biomedical engineering a bunch wants hearing physics as well as the nurse science Ph D. program at Emory All right now we're full breast students but Dr this work. I talked about is currently unfunded and we're ready to go or a grant. Based on it and some of that. Happens we are looking for students. Most of my other work is really at the cellular level. I think I do have a project that probably worth mentioning there is a program run by an alleged present called the IP for vertically integrated projects and it's a model for conducting research we call sustainable research to parch teams of undergrads and the idea is you bring in about ten undergrads of different majors and skills you train the basic skills and you try to keep a research project going within that doesn't die I want a grad student leaves the lab which is them undergrad is the lab which is typically how I do research with undergrads they work on something for a few months they disappear and go away and they were this particular project is actually focused on sort of the cognitive basis of understanding sensory rhythms like you find in music like Why can people keep the beat are not keep the beat and it's actually motivated by techniques biggest in our laps the years in war you know animal nervous system preps you realize you could play to human subjects studies and eventually once we get the basic studies going we're going to start branching out into each ear imaging techniques. We've talked to some people do the work but we also want to actually talk people in psychology about this project as well I think one of the No two is that we're always certainly looking for people to participate in our experiments as well. And actually joysticks school psychology is very good in that we have a lot of people studying aging where one of the largest economy major research groups so if your age disappears particularly aging there are several labs that do this sort of work. So there's there's a lot choose from. So if you see a little bit more because I feel like surprise research on how effective or not I never mind how big or small it may be they're treated I couldn't talk. Too long about that there's actually an enormous amount of underappreciated nurse science work going on in Georgia Tech and partially it's because it's fragmented. For example does not actually know almost there's no other science going on in our biology department. But that's actually where students first go in fact there was an undergraduate nurse science club that was just formed and it's going to about seventy undergraduate in fact the neuroscience basic science class in biology is taught by Steve Barber who is here who's a B. and B. professor so I think partially because people of biology and it's absolute in that department. But if you look at what's going on in psychology and apply physiology in biomedical engineering primarily as well as electrical engineering and though the whole continent program The contemplating there is an enormous amount of her science research going on here. So I would mention that both Georgia state as well as Emory both have your science as one of their top three priorities where their strengths are there she teaches plans and even though I think we have a lot of strength here that attention has not pulled up to the right places to give it that kind of coordination or attention here but I'd love to see it happen. So I hear your true directions for me is to not bring theories with biology the other more exactly to utilize in your series to develop your engineering systems so that you're not supposed to answer the question. These two directions are in arms or contributor truth really trying to develop me how the other one and you know what's next. I think you know through the study of your starts to connections we've heard about the development of your engineering systems but I would complement that if you look at so I get his advisor and myself are part of basically nine faculty in the college of engineering that have flown together over. You're a science impressed. We have a science bias if you look at the training of myself here at Stanley Lena taking we all the engineering degrees but we're all trained by. It has to be looked at are funded grants and we get money from it's not like from the biomedical engineering part of it. I need we're asking scientific questions being very quantitative about it. I still think we have a way to go on actual application. There are facts in the application side may some go on Lou and much much mirroring makes up wireless amplifiers for recording behavior from a shrill behaving that map that brains and he actually works with us is Professor in psychology and Emory Joel mans who actually does experiments using technology to me sounds me. Pamela body unless one is hearing studies who are implants in the steeple implants and so she is trying to develop technology is kind of the cookery implant of the Stigler system. She works with people with memory and she goes there and these people are on a balance. Cheers to see how dizzy they get to kind of studies like that. So there are people on the technology side as well but I do think our Stephen ironically in college of engineering. I think we have a science bias. Even here advisor. You know if you look at the questions you ask him what he's funded to do a lot of it is how does the brain work this way and sort of a secondary question is how could this be exploited be used in the future. So in the application side where we're just starting to get there that the nervous system is much less understood than any other major organ in physiology and of the general public appreciates how much less we understand. I think within psychology we actually do have a fair number of apply what was like I'll just so we have also have engineering psych as a program and industrialization psychologist program and those are for dealing directly with so does your organization or look more like business psychologist do I give it what engineering is applying psychological principles to make tools or make computer programs that are more accessible or that was actually working with robotics and know how that how interacting with them works. Things like that in the lab has actually funding from John Deere so making tractors more servitude of things. That so then they do so that work with aging as well so it is an interesting mix of we get to interact with people who are more polite stuff and then they get interact who are doing more of the neuro stuff and sometimes we come together sometimes we just kind of talk about our own things.