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Balanced Computation of Orientation Selectivity in Network Models of the Primary Visual Cortex
Zitatschlüssel Wies05a
Autor Wiesing, P. and Beck, O. and Schwabe, L. and Mariño, J. and Lyon, D.C. and Sur, M. and Obermayer, K.
Buchtitel Soc. Neurosci. Abs. 31
Jahr 2005
Notiz CD-ROM
Zusammenfassung In the primary visual cortex (V1), the local patterns of response properties vary with their location in the orientation map and influence the properties of the local neuronal circuits. An experimentally measured signature of these influences has recently been described in [1], where it was shown, that the specificity of the orientation tuning of the excitatory and inhibitory conductances co-varies on average across the different map locations. Furthermore it was shown, that the averaged membrane potential tuning curves of cells located at pinwheel centers, when compared with orientation domains, showed a more flat profile. Here we investigate, using a combination of mathematical analysis and computer simulations, which parameter regimes (or phases) of a V1 neuronal network are consistent with these experimental data. Following [2], we first consider a geometrical firing rate network model and calculate the tuning curves of the total conductances and of the output spike-rates as a function of a large range of model parameters. We then calculate the likelihood of the observed data given the model. The experimental data are best explained, when (1) the recurrent dominate the feedforward inputs and (2) recurrent excitation and inhibition co-varies such that the spike tuning remains equally sharp at all map locations. We then investigate the different regimes for a biologically more realistic Hodgkin-Huxley (HH) type network model [1], which additionally can account for the variations of the membrane potential. In agreement with the mean-field model results we find, that the data is best described, if the HH network operates in a regime dominated by recurrent excitation and inhibition. [1] Marino, J. et al., Nat Neurosci 8, 194ff (2005). [2] Kang, K. et al., PNAS USA 100, 2848ff (2003). Supported by BMBF 10025304 Sample Citation: [Authors]. [Abstract Title]. Program No. XXX.XX. 2005 Neuroscience Meeting Planner. Washington, DC: Society for Neuroscience, 2005. Online. Copyright © 2005-2010 Society for Neuroscience; all rights reserved. Permission to republish any abstract or part of any abstract in any form must be obtained in writing by SfN office prior to publication.
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