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Vector-Based Integration of Local and Long-Range Information in Visual Cortex

Research and Teaching Output of the MIT Community

Show simple item record Somers, David C. en_US Todorov, Emanuel V. en_US Siapas, Athanassios G. en_US Sur, Mriganka en_US 2004-10-20T20:49:17Z 2004-10-20T20:49:17Z 1996-01-18 en_US
dc.identifier.other AIM-1556 en_US
dc.identifier.other CBCL-127 en_US
dc.description.abstract Integration of inputs by cortical neurons provides the basis for the complex information processing performed in the cerebral cortex. Here, we propose a new analytic framework for understanding integration within cortical neuronal receptive fields. Based on the synaptic organization of cortex, we argue that neuronal integration is a systems--level process better studied in terms of local cortical circuitry than at the level of single neurons, and we present a method for constructing self-contained modules which capture (nonlinear) local circuit interactions. In this framework, receptive field elements naturally have dual (rather than the traditional unitary influence since they drive both excitatory and inhibitory cortical neurons. This vector-based analysis, in contrast to scalarsapproaches, greatly simplifies integration by permitting linear summation of inputs from both "classical" and "extraclassical" receptive field regions. We illustrate this by explaining two complex visual cortical phenomena, which are incompatible with scalar notions of neuronal integration. en_US
dc.format.extent 11 p. en_US
dc.format.extent 2170488 bytes
dc.format.extent 1066936 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-1556 en_US
dc.relation.ispartofseries CBCL-127 en_US
dc.subject MIT en_US
dc.subject Receptive Field en_US
dc.subject Cortical Circuits en_US
dc.subject Modules en_US
dc.subject Cortical Inhibition en_US
dc.subject Computational Neuroscience. en_US
dc.title Vector-Based Integration of Local and Long-Range Information in Visual Cortex en_US

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