Title Dimensional reduction of a V1 ring model with simple and complex cells
Authors Wang, Cong
Tao, Louis
Affiliation Peking Univ, Coll Life Sci, Ctr Bioinformat, Natl Lab Prot Engn & Plant Genet Engn, Beijing 100871, Peoples R China.
Peking Univ, Ctr Quantitat Biol, Beijing 100871, Peoples R China.
Peking Univ, Ctr Quantitat Biol, 5 Summer Palace Rd, Beijing 100871, Peoples R China.
Keywords Primary visual cortex
Low dimensional characterization
Fluctuation-driven dynamics
PRIMARY VISUAL-CORTEX
ORIENTATION SELECTIVITY
NETWORK MODEL
SPATIAL-FREQUENCY
NEURAL-NETWORKS
IMAGING DATA
MACAQUE V1
DYNAMICS
POPULATION
NEURONS
Issue Date 2014
Publisher 计算神经科学杂志
Citation JOURNAL OF COMPUTATIONAL NEUROSCIENCE.2014,37,(3),481-492.
Abstract In this paper, we extend a framework for constructing low-dimensional dynamical systems models of mammalian primary visual cortex to a cortical network model that incorporates the full nonlinear effects of complex cells. The procedure consists of capturing the essential dynamics in a low-dimensional subspace using empirical methods, then recasting the equations in the reduced vector space. Previously, we considered visual cortical network models consisting of only simple cells with nearly linear responses to external stimuli. Here we show that fully nonlinear effects can be incorporated by examining the dimensional reduction of an idealized ring model of V1 with both simple and complex cells. We found it expedient to divide the subspace into four separate neuronal populations: excitatory simple, excitatory complex, inhibitory simple and inhibitory complex. In order to reproduce the fluctuation-driven dynamics in this reduced space, we incorporated (1) white noises with different intensities into individual neuronal populations, and (2) firing rate estimates to capture the probability of firing due to subthreshold fluctuations. With a more accurate, fitted connectivity, our modified dimensional reduced models can reproduce the firing rates, circular variances and modulation ratios observed in the original ring model.
URI http://hdl.handle.net/20.500.11897/162434
ISSN 0929-5313
DOI 10.1007/s10827-014-0516-6
Indexed SCI(E)
PubMed
Appears in Collections: 生命科学学院
蛋白质与植物基因研究国家重点实验室

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