Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations

Higher-Order Cumulants Drive Neuronal Activity Patterns, Inducing UP-DOWN States in Neural Populations

A major challenge in neuroscience is to understand the role of the higher-order correlations structure of neuronal populations. The dichotomized Gaussian model (DG) generates spike trains by means of thresholding a multivariate Gaussian random variable. The DG inputs are Gaussian distributed, and th...

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Bibliographic Details
Main Authors: Roman Baravalle, Fernando Montani
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Entropy
Subjects:
neuronal activity
collective dynamics
information processing
PDF evaluation
dynamic states
higher-order correlations
Online Access:https://www.mdpi.com/1099-4300/22/4/477

Internet

https://www.mdpi.com/1099-4300/22/4/477

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