Title:
Dopamine specifies the statistics of spontaneous behavior
Dopamine specifies the statistics of spontaneous behavior
| dc.contributor.author | Markowitz, Jeffrey | |
| dc.contributor.corporatename | Georgia Institute of Technology. Neural Engineering Center | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Dept. of Biomedical Engineering | en_US |
| dc.date.accessioned | 2022-11-23T17:51:11Z | |
| dc.date.available | 2022-11-23T17:51:11Z | |
| dc.date.issued | 2022-11-21 | |
| dc.description | Jeffrey Markowitz is an Assistant Professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech. His work focuses on how the brain decides which action to perform at each moment in time – that is, action selection. His lab is interested in the cortical and subcortical circuits that mediate this process, and how they go awry in neurological disorders such as Parkinson’s disease. | en_US |
| dc.description | Presented online via Zoom and in-person at 11:15 a.m. on November 21, 2022 in the Krone Engineered Biosystems Building, Room 1005. | en_US |
| dc.description | Runtime: 65:32 minutes | en_US |
| dc.description.abstract | Spontaneous animal behavior is built from action modules that are concatenated by the brain into sequences. However, the neural mechanisms that shape the composition of self-motivated behavior remain unknown. Here we show that dopamine systematically fluctuates in the dorsolateral striatum during spontaneous behavior as mice transition between sub-second behavioral modules, despite the absence of task structure, sensory cues or exogenous reward. Module-associated striatal dopamine levels predict future module use and ordering; closed-loop optogenetic manipulations demonstrate that dopamine increases sequence variation over seconds and reinforces associated behavioral modules over minutes, without directly influencing movement initiation or kinematics. Consistent with the possibility that the observed striatal dopamine fluctuations drive behavior, dopamine transients during spontaneous behavior are similar in magnitude to those observed during reward consumption, and mice choose modules on a moment-to-moment basis to maximize dopamine. Dopamine therefore acts as a continuous teaching signal that guides the composition of self-motivated behavioral sequences; these findings suggest a model in which the same circuits and computations that govern action choices in highly structured tasks play a key role in composing unconstrained, spontaneous behavior. | |
| dc.format.extent | 65:32 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/69969 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | GT Neuro Seminar Series | |
| dc.subject | Behavior tracking | en_US |
| dc.subject | Dopamine | en_US |
| dc.subject | Machine learning | en_US |
| dc.title | Dopamine specifies the statistics of spontaneous behavior | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Neural Engineering Center | |
| local.relation.ispartofseries | GT Neuro Seminar Series | |
| relation.isOrgUnitOfPublication | c2e26044-257b-4ef6-8634-100dd836a06c | |
| relation.isSeriesOfPublication | 608bde12-7f29-495f-be22-ac0b124e68c5 |
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