Spontaneous and driven cortical activity: implications for computation.

Spontaneous and driven cortical activity: implications for computation.
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DOI:
10.1016/j.conb.2009.07.005
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发表时间:
2009-08
影响因子:
5.7
通讯作者:
Ringach, Dario L.
Ringach, Dario L.
中科院分区:
医学2区
文献类型:
--
作者:
Ringach, Dario L.

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自发神经活动的传统观点是“噪音”,最近的研究结果表明:(a)皮层群体中的自发活动在空间和时间上都是高度结构化的,(B)自发活动的时空结构与皮层网络的潜在连接性相关联,(c)自发的皮层活动与外部刺激相互作用以产生对刺激的个体呈现的反应,(d)网络连通性部分地由自然信号的统计来塑造,以及(e)正在进行的皮层活动表示连续的自上而下的预测/期望信号,该信号与传入的输入相互作用以生成对世界的更新表示。这些结果可以综合起来为皮层计算的研究提供一个新的框架。
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.
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