Bumps and waves in a two-dimensional multilayer neural field model

Olivier Faugeras,François Grimbert

doi:10.1186/1471-2202-8-s2-p68

Olivier Faugeras, François Grimbert

Open Access

https://doi.org/10.1186/1471-2202-8-s2-p68

Copy DOI

Abstract

Bumps and waves in a two-dimensional multilayer neural field model

Highlights

Neural field models of firing rate activity have played a major role in developing an understanding of the dynamics of neural tissues [1]
We model a cortical area as a two-dimensional neural field composed of one excitatory and one inhibitory layer of neural masses
The second term is the input feeding a neural mass at a given point of the field. It sums up the contributions of all neural masses in the field by a weighted integral of their instantaneous firing rates

Summary

Introduction

Neural field models of firing rate activity have played a major role in developing an understanding of the dynamics of neural tissues [1]. They can be used to model extrinsic optical imaging signals and understand how different neuronal layers contribute to them. At a higher level of detail, biological data on horizontal cortical connectivity must be well taken into account. The spatial resolution of extrinsic optical imaging and biological connectivity studies involving patches of neurons [2,3] suggest a mesoscopic neural mass approach

Methods

Results

Conclusion