Title:
Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo

dc.contributor.advisor Stanley, Garrett B.
dc.contributor.author Millard, Daniel C.
dc.contributor.committeeMember Rozell, Christopher J.
dc.contributor.committeeMember Potter, Steve M.
dc.contributor.committeeMember Gross, Robert E.
dc.contributor.committeeMember Grill, Warren M.
dc.contributor.department Biomedical Engineering (Joint GT/Emory Department)
dc.date.accessioned 2015-06-08T18:10:11Z
dc.date.available 2015-06-09T05:30:06Z
dc.date.created 2014-05
dc.date.issued 2014-01-09
dc.date.submitted May 2014
dc.date.updated 2015-06-08T18:10:11Z
dc.description.abstract A principal goal of neural engineering is to control the activation of neural circuits across space and time. The ability to control neural circuits with surrogate inputs is needed for the development of clinical neural prostheses and the experimental interrogation of connectivity between brain regions. Electrical stimulation provides a clinically viable method for activating neural tissue and the emergence of optogenetic stimulation has redefined the limitations on stimulating neural tissue experimentally. However, it remains poorly understood how these tools activate complex neural circuits. The goal of this proposed project was to gain a greater understanding of how to control the activity of neural circuits in-vivo using a combination of experimental and computational approaches. Voltage sensitive dye imaging was used to observe the spatiotemporal activity within the rodent somatosensory cortex in response to systematically varied patterns of sensory, electrical, and optogenetic stimulation. First, the cortical response to simple patterns of sensory and artificial stimuli was characterized and modeled, revealing distinct neural response properties due to the differing synchrony with which the neural circuit was engaged. Then, we specifically designed artificial stimuli to improve the functional relevance of the resulting downstream neural responses. Finally, through direct optogenetic modulation of thalamic state, we demonstrate control of the nonlinear propagation of neural activity within the thalamocortical circuit. The combined experimental and computational approach described in this thesis provides a comprehensive description of the nonlinear dynamics of the thalamocortical circuit to surrogate stimuli. Together, the characterization, modeling, and overall control of downstream neural activity stands to inform the development of central nervous system sensory prostheses, and more generally provides the initial tools and framework for the control of neural activity in-vivo.
dc.description.degree Ph.D.
dc.embargo.terms 2015-05-01
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/53405
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Electrical stimulation
dc.subject Optogenetics
dc.subject Voltage sensitive dye imaging
dc.subject Sensory
dc.subject Vibrissa
dc.subject Nonlinear dynamics
dc.title Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Stanley, Garrett B.
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
local.contributor.corporatename College of Engineering
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relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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