Modern neuroscience seeks to understand the human brain and determine how stimulus features are directly mapped to neuronal representations that govern emergent properties like perception and behavior. One prominent proposal for population-based encoding of information is synchronization in the firing of two or more cells. Although synchrony has tremendous potential as a coding mechanism, understanding its relevance is difficult since the techniques to measure and analyze synchrony are relatively new. The work presented here combines simultaneous recordings from dozens of neurons with a novel method for identification of cellular assemblies defined by synchrony to investigate the dynamic associations among small populations during natural stimulation.
We found that synchronous activity was able to discriminate changes in structural integrity and overcome the ambiguity of firing rate to identify contour structure reliably and consistently. The time course of synchrony suggests that it is directly related to spatial stimulus properties. Using a large natural image sequence with a variety of visual features to optimize stimulation of the entire recorded population, we showed that synchronous activity was correlated with the receptive field properties of proximity, orientation, and continuity. We used these properties to create a contour index, which quantitatively described how well an assembly's configuration matched a contour structure. Synchrony was well-correlated with this measure, which indicates that cooperation may be selective for local contrast structure arranged in continuous, well-defined contours. Synchronous activity is particularly sensitive to structural content in natural images, which is preserved in the phase regularities in the image and not the power spectrum. We found that synchrony measured between assemblies representing different contours was severely reduced. Responses were sparse for each assembly across the image set and well as across all assemblies for each condition. Our results demonstrate that synchrony has the potential to encode image properties not apparent from changes in firing rate. As a fundamental mechanism of sensory cognition, synchrony may act as a sparse code to help facilitate the detection of contour information for integration and processing in higher visual areas.
| Identifer | oai:union.ndltd.org:VANDERBILT/oai:VANDERBILTETD:etd-03312008-145703 |
| Date | 25 April 2008 |
| Creators | Bernard, Melanie Rebecca |
| Contributors | Professor A. B. Bonds, III, Professor Vivien A. Casagrande, Professor R. Alan Peters, II, Professor Richard G. Shiavi, Professor Adam W. Anderson |
| Publisher | VANDERBILT |
| Source Sets | Vanderbilt University Theses |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.library.vanderbilt.edu/available/etd-03312008-145703/ |
| Rights | unrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. |
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