The role of inhibitory feedback for information processing in thalamocortical circuits

Simple item page
dc.creatorMayer, Joerg
dc.creatorSchuster, Heinz Georg
dc.creatorClaussen, Jens Christian
dc.date2005-10-19
dc.date2006-02-07
dc.date.accessioned2026-07-07T06:48:38Z
dc.date.available2026-07-07T06:48:38Z
dc.descriptionThe information transfer in the thalamus is blocked dynamically during sleep, in conjunction with the occurence of spindle waves. As the theoretical understanding of the mechanism remains incomplete, we analyze two modeling approaches for a recent experiment by Le Masson {\sl et al}. on the thalamocortical loop. In a first step, we use a conductance-based neuron model to reproduce the experiment computationally. In a second step, we model the same system by using an extended Hindmarsh-Rose model, and compare the results with the conductance-based model. In the framework of both models, we investigate the influence of inhibitory feedback on the information transfer in a typical thalamocortical oscillator. We find that our extended Hindmarsh-Rose neuron model, which is computationally less costly and thus siutable for large-scale simulations, reproduces the experiment better than the conductance-based model. Further, in agreement with the experiment of Le Masson {\sl et al}., inhibitory feedback leads to stable self-sustained oscillations which mask the incoming input, and thereby reduce the information transfer significantly.
dc.description16 pages, 15eps figures included. To appear in Physical Review E
dc.identifierhttps://arxiv.org/abs/q-bio/0510040
dc.identifierhttp://arxiv.org/abs/q-bio/0510040
dc.identifierPhys. Rev. E 73, 031908 (2006)
dc.identifierdoi:10.1103/PhysRevE.73.031908
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/104084
dc.subjectNeurons and Cognition
dc.subjectDisordered Systems and Neural Networks
dc.subjectChaotic Dynamics
dc.subjectBiological Physics
dc.titleThe role of inhibitory feedback for information processing in thalamocortical circuits
dc.typetext

Files

Collections

arXiv