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Invariant Computations in Local Cortical Networks with Balanced Excitation and Inhibition
Citation key Marino2005
Author Mariño, J. and Schummers, J. and Lyon, D.C. and Schwabe, L. and Beck, O. and Wiesing, P. and Obermayer, K. and Sur, M.
Pages 194 – 201
Year 2005
DOI 10.1038/nn1391
Journal Nature Neuroscience
Volume 8
Abstract Cortical computations critically involve local neuronal circuits. The computations are often invariant across a cortical area, yet are carried out by networks which can vary widely within an area based on its functional architecture. Here, we demonstrate a mechanism by which orientation selectivity is computed invariantly in primary visual cortex across an orientation preference map that provides a wide diversity of local circuits. Visually evoked excitatory and inhibitory synaptic conductances are balanced exquisitely in cortical neurons and thus keep the spike response sharply tuned at all map locations. This functional balance derives from spatially isotropic local connectivity to both excitatory and inhibitory cells. Modelling results demonstrate that such co-variation is a signature of recurrent rather than purely feedforward processing, and that the observed isotropic local circuit is sufficient to generate invariant spike tuning.
Bibtex Type of Publication Selected:main selected:v1 selected:publications
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