Spatio-temporal correlations and visual signalling in a complete neuronal population.
Spatio-temporal correlations and visual signalling in a complete neuronal population.
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DOI：
10.1038/nature07140
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发表时间：
2008-08-21
期刊：
影响因子：
64.8
通讯作者：
Simoncelli EP
中科院分区：
文献类型：
--
作者：
Pillow JW;Shlens J;Paninski L;Sher A;Litke AM;Chichilnisky EJ;Simoncelli EP
感觉神经元反应中的统计依赖性既控制传达的刺激信息的量，又控制下游神经元提取它的手段。尽管各种测量表明存在这种依赖性，但对神经编码的起源和重要性知之甚少。在这里，我们使用多神经位峰响应模型分析了完全猕猴的视网膜神经节细胞中相关射击的功能意义。该模型具有直接符合生理数据的参数，同时捕获了人群响应中的刺激依赖性和详细的时空相关性，并为神经代码的结构提供了两个见解。首先，在人群水平上编码的神经编码要比单个神经元的变异性所期望的嘈杂：峰值时间更精确，当考虑到相邻神经元的尖峰时，可以更准确地预测。其次，相关性提供了其他感官信息：基于模型的最佳解码，利用响应相关结构比在独立性假设下解码的信息多20％，并且比最佳线性解码多40％。这种基于模型的方法揭示了相关活性在视觉刺激的视网膜编码中的作用，并提供了一个一般框架，以理解神经元种群中相关活性的重要性。
Statistical dependencies in the responses of sensory neurons govern both the amount of stimulus information conveyed and the means by which downstream neurons can extract it. Although a variety of measurements indicate the existence of such dependencies, their origin and importance for neural coding are poorly understood. Here we analyse the functional significance of correlated firing in a complete population of macaque parasol retinal ganglion cells using a model of multi-neuron spike responses. The model, with parameters fit directly to physiological data, simultaneously captures both the stimulus dependence and detailed spatio-temporal correlations in population responses, and provides two insights into the structure of the neural code. First, neural encoding at the population level is less noisy than one would expect from the variability of individual neurons: spike times are more precise, and can be predicted more accurately when the spiking of neighbouring neurons is taken into account. Second, correlations provide additional sensory information: optimal, model-based decoding that exploits the response correlation structure extracts 20% more information about the visual scene than decoding under the assumption of independence, and preserves 40% more visual information than optimal linear decoding. This model-based approach reveals the role of correlated activity in the retinal coding of visual stimuli, and provides a general framework for understanding the importance of correlated activity in populations of neurons.
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影响因子：
5.3
作者：
Shlens, Jonathon;Field, Greg D.;Chichilnisky, E. J.
通讯作者：
Chichilnisky, E. J.
影响因子：
56.9
作者：
MEISTER, M;LAGNADO, L;BAYLOR, DA
通讯作者：
BAYLOR, DA
影响因子：
64.8
作者：
Schneidman, E;Berry, MJ;Bialek, W
通讯作者：
Bialek, W
影响因子：
64.8
作者：
Nirenberg, S;Carcieri, SM;Latham, PE
通讯作者：
Latham, PE
影响因子：
5.3
作者：
Paninski, L;Shoham, S;Donoghue, JP
通讯作者：
Donoghue, JP