Processing of information in synchroneously firing chains in networks of neurons

TL;DR

This paper extends the Abeles model to describe how synfire chains process information within neural networks, providing a quantitative transfer function for neural activity transmission.

Contribution

It introduces an extension of the Abeles model to include synfire chains and derives a quantitative transfer function for information processing.

Findings

Extended the Abeles model to include synfire chains

Derived a quantitative transfer function for neural activity

Described information processing in uncorrelated neural networks

Abstract

The Abeles model of cortical activity assumes that in absence of stimulation neural activity in zero order can be described by a Poisson process. Here the model is extended to describe information processing by synfire chains within a network of activity uncorrelated to the synfire chain. A quantitative derivation of the transfer function from this concept is given.