Dimensionally-reduced visual cortical network model predicts network   response and connects system- and cellular-level descriptions

doi:10.1007/s10827-009-0189-8

CORC > 北京大学 > 生命科学学院

	Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions
	Tao, Louis ; Sornborger, Andrew T.
刊名	计算神经科学杂志
	2010
关键词	Primary visual cortex Low-dimensional characterization Network connectivity INDEPENDENT COMPONENT ANALYSIS MONKEY STRIATE CORTEX ORIENTATION SELECTIVITY FUNCTIONAL ARCHITECTURE SPATIAL-FREQUENCY NEURONAL NETWORKS RECEPTIVE FIELDS COMPLEX CELLS IMAGING DATA REPRESENTATION
DOI	10.1007/s10827-009-0189-8
英文摘要	Systems-level neurophysiological data reveal coherent activity that is distributed across large regions of cortex. This activity is often thought of as an emergent property of recurrently connected networks. The fact that this activity is coherent means that populations of neurons may be thought of as the carriers of information, not individual neurons. Therefore, systems-level descriptions of functional activity in the network often find their simplest form as combinations of the underlying neuronal variables. In this paper, we provide a general framework for constructing low-dimensional dynamical systems that capture the essential systems-level information contained in large-scale networks of neurons. We demonstrate that these dimensionally-reduced models are capable of predicting the response to previously un-encountered input and that the coupling between systems-level variables can be used to reconstruct cellular-level functional connectivities. Furthermore, we show that these models may be constructed even in the absence of complete information about the underlying network.; Mathematical & Computational Biology; Neurosciences; SCI(E); PubMed; 4; ARTICLE; 1; 91-106; 28
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/196700]
专题	生命科学学院
推荐引用方式 GB/T 7714	Tao, Louis,Sornborger, Andrew T.. Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions[J]. 计算神经科学杂志,2010.
APA	Tao, Louis,&Sornborger, Andrew T..(2010).Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions.计算神经科学杂志.
MLA	Tao, Louis,et al."Dimensionally-reduced visual cortical network model predicts network response and connects system- and cellular-level descriptions".计算神经科学杂志 (2010).