An integration model for detection and quantification of synchronous firing within cell groups
Author(s) -
Melanie R. Bernard,
Jason M. Samonds,
Zhiyi Zhou,
A. B. Bonds
Publication year - 2010
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/5.8.676
Subject(s) - excitatory postsynaptic potential , postsynaptic potential , neuroscience , visual cortex , simple cell , computer science , pattern recognition (psychology) , cluster analysis , bursting , artificial intelligence , inhibitory postsynaptic potential , biological system , psychology , biology , biochemistry , receptor
5. The results from Figure 4B,C suggest that group membership is dynamic, depending on the spatial configuration of the stimuli. Also, group synchrony is highest for the stimulus that is most optimal for the group. An Integration Model for Detection and Quantification of Synchronous Firing Within Cell Groups Melanie Bernard1, Jason M. Samonds3, Zhiyi Zhou1, and A.B. Bonds1,2 Departments of Biomedical Engineering1 & Electrical Engineering and Computer Science2, Vanderbilt University, Nashville, TN 37235 Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA 15213 678
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