The Neural Computations of Spatial Memory from Single Cells to Networks
dc.contributor.advisor | Cox, Steven J. | en_US |
dc.contributor.committeeMember | Knierim, James | en_US |
dc.contributor.committeeMember | Sorensen, Danny C. | en_US |
dc.contributor.committeeMember | Embree, Mark | en_US |
dc.contributor.committeeMember | Kemere, Caleb T. | en_US |
dc.creator | Hedrick, Kathryn | en_US |
dc.date.accessioned | 2012-09-06T04:48:26Z | en_US |
dc.date.accessioned | 2012-09-06T04:48:30Z | en_US |
dc.date.available | 2012-09-06T04:48:26Z | en_US |
dc.date.available | 2012-09-06T04:48:30Z | en_US |
dc.date.created | 2012-05 | en_US |
dc.date.issued | 2012-09-05 | en_US |
dc.date.submitted | May 2012 | en_US |
dc.date.updated | 2012-09-06T04:48:30Z | en_US |
dc.description.abstract | Studies 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. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Hedrick, 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>. | en_US |
dc.identifier.slug | 123456789/ETD-2012-05-192 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/64714 | en_US |
dc.language.iso | eng | en_US |
dc.rights | Copyright 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. | en_US |
dc.subject | Model reduction | en_US |
dc.subject | Spatial memory | en_US |
dc.subject | Place cells | en_US |
dc.subject | Grid cells | en_US |
dc.subject | Passive model | en_US |
dc.subject | Quasi-active model | en_US |
dc.subject | Computational neuroscience | en_US |
dc.title | The Neural Computations of Spatial Memory from Single Cells to Networks | en_US |
dc.type | Thesis | en_US |
dc.type.material | Text | en_US |
thesis.degree.department | Computational and Applied Mathematics | en_US |
thesis.degree.discipline | Engineering | en_US |
thesis.degree.grantor | Rice University | en_US |
thesis.degree.level | Doctoral | en_US |
thesis.degree.name | Doctor of Philosophy | en_US |