Causal interactions and delays in a neuronal ensemble
Disordered Systems and Neural Networks
2015-06-25 v1 Statistical Mechanics
Abstract
We analyze a neural system which mimics a sensorial cortex, with different input characteristics, in presence of transmission delays. We propose a new measure to characterize collective behavior, based on the nonlinear extension of the concept of Granger causality, and an interpretation is given of the variation of the percentage of the causally relevant interactions with transmission delays.
Cite
@article{arxiv.cond-mat/0609523,
title = {Causal interactions and delays in a neuronal ensemble},
author = {Daniele Marinazzo and Mario Pellicoro and Sebastiano Stramaglia},
journal= {arXiv preprint arXiv:cond-mat/0609523},
year = {2015}
}
Comments
7 pages, 3 figures. To appear in the AIP seminar notes of 9th Granada seminar on Computational Physics: Computational and Mathematical Modeling of Cooperative Behavior in Neural Systems