自发和驱动的皮层活动：对计算的影响。
Spontaneous and driven cortical activity: implications for computation.
作者信息
Ringach Dario L
机构信息
Department of Neurobiology and Psychology, Jules Stein Eye Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095-1563, USA.
出版信息
Curr Opin Neurobiol. 2009 Aug;19(4):439-44. doi: 10.1016/j.conb.2009.07.005. Epub 2009 Aug 3.
Abstract
The traditional view of spontaneous neural activity as 'noise' has been challenged by recent findings suggesting that: (a) spontaneous activity in cortical populations is highly structured in both space and time, (b) the spatio-temporal structure of spontaneous activity is linked to the underlying connectivity of the cortical network, (c) spontaneous cortical activity interacts with external stimulation to generate responses to the individual presentations of a stimulus, (d) network connectivity is shaped in part by the statistics of natural signals and (e) ongoing cortical activity represents a continuous top-down prediction/expectation signal that interacts with incoming input to generate an updated representation of the world. These results can be integrated to provide a new framework for the study of cortical computation.
摘要
传统上将自发神经活动视为“噪声”的观点已受到近期研究结果的挑战，这些结果表明：(a) 皮层群体中的自发活动在空间和时间上都具有高度的结构性，(b) 自发活动的时空结构与皮层网络的潜在连接性相关，(c) 皮层自发活动与外部刺激相互作用，以产生对单个刺激呈现的反应，(d) 网络连接性部分由自然信号的统计数据塑造，以及 (e) 持续的皮层活动代表一种连续的自上而下的预测/期望信号，该信号与传入输入相互作用，以生成世界的更新表征。这些结果可以整合起来，为皮层计算的研究提供一个新的框架。
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