The Neural Computations of Spatial Memory from Single Cells to Networks

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dc.contributor.advisorCox, Steven J.
dc.contributor.committeeMemberKnierim, James
dc.contributor.committeeMemberSorensen, Danny C.
dc.contributor.committeeMemberEmbree, Mark
dc.contributor.committeeMemberKemere, Caleb T.
dc.creatorHedrick, Kathryn
dc.date.accessioned2012-09-06T04:48:26Z
dc.date.accessioned2012-09-06T04:48:30Z
dc.date.available2012-09-06T04:48:26Z
dc.date.available2012-09-06T04:48:30Z
dc.date.created2012-05
dc.date.issued2012-09-05
dc.date.submittedMay 2012
dc.date.updated2012-09-06T04:48:30Z
dc.description.abstractStudies of spatial memory provide valuable insight into more general mnemonic functions, for by observing the activity of cells such as place cells, one can follow a subject’s dynamic representation of a changing environment. I investigate how place cells resolve conflicting neuronal input signals by developing computational models that integrate synaptic inputs on two scales. First, I construct reduced models of morphologically accurate neurons that preserve neuronal structure and the spatial specificity of inputs. Second, I use a parallel implementation to examine the dynamics among a network of interconnected place cells. Both models elucidate possible roles for the inputs and mechanisms involved in spatial memory.
dc.format.mimetypeapplication/pdf
dc.identifier.citationHedrick, Kathryn. "The Neural Computations of Spatial Memory from Single Cells to Networks." (2012) Diss., Rice University. <a href="https://hdl.handle.net/1911/64714">https://hdl.handle.net/1911/64714</a>.
dc.identifier.slug123456789/ETD-2012-05-192
dc.identifier.urihttps://hdl.handle.net/1911/64714
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectModel reduction
dc.subjectSpatial memory
dc.subjectPlace cells
dc.subjectGrid cells
dc.subjectPassive model
dc.subjectQuasi-active model
dc.subjectComputational neuroscience
dc.titleThe Neural Computations of Spatial Memory from Single Cells to Networks
dc.typeThesis
dc.type.materialText
thesis.degree.departmentComputational and Applied Mathematics
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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