Higher-order correlations in common input shapes the output spiking activity of a neural population

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• 作者：Lisandro Montangie ; Fernando Montani ; ^{fmontani@gmail.com}
• 关键词：Higher-order correlations ; Extended Central Limit Theorem ; Large neural ensemble ; Information geometry ; Neuronal inputs ; Spiking outputs
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：471
• 期：Complete
• 页码：845-861
• 全文大小：1024 K
• 卷排序：471

文摘

Complexity of neuronal synchronous activity patterns. To capture subtle changes in the common neuronal inputs. Input statistics transformed into higher-order output statistics. Neuronal inputs and the spiking outputs follow qq-Gaussian statistics. Importance of higher-order correlations at population level.