Dimensional reduction of a V1 ring model with simple and complex cells

doi:10.1007/s10827-014-0516-6

CORC > 北京大学 > 生命科学学院

	Dimensional reduction of a V1 ring model with simple and complex cells
	Wang, Cong ; Tao, Louis
刊名	计算神经科学杂志
	2014
关键词	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
DOI	10.1007/s10827-014-0516-6
英文摘要	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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000344767600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Mathematical & Computational Biology; Neurosciences; SCI(E); PubMed; 0; ARTICLE; taolt@mail.cbi.pku.edu.cn; 3; 481-492; 37
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/162434]
专题	生命科学学院
推荐引用方式 GB/T 7714	Wang, Cong,Tao, Louis. Dimensional reduction of a V1 ring model with simple and complex cells[J]. 计算神经科学杂志,2014.
APA	Wang, Cong,&Tao, Louis.(2014).Dimensional reduction of a V1 ring model with simple and complex cells.计算神经科学杂志.
MLA	Wang, Cong,et al."Dimensional reduction of a V1 ring model with simple and complex cells".计算神经科学杂志 (2014).