Influence of extracellular oscillations on neural communication: a computational perspective

Abstract : Neural communication generates oscillations of electric potential in the extracellular medium. In feedback, these oscillations affect the electrochemical processes within the neurons, influencing the timing and the number of action potentials. It is unclear whether this influence should be considered only as noise or it has some functional role in neural communication. Through computer simulations we investigated the effect of various sinusoidal extracellular oscillations on the timing and number of action potentials. Each simulation is based on a multicompartment model of a single neuron, which is stimulated through spatially distributed synaptic activations. A thorough analysis is conducted on a large number of simulations with different models of CA3 and CA1 pyramidal neurons which are modeled using realistic morphologies and active ion conductances. We demonstrated that the influence of the weak extracellular oscillations, which are commonly present in the brain, is rather stochastic and modest. We found that the stronger fields, which are spontaneously present in the brain only in some particular cases (e.g., during seizures) or that can be induced externally, could significantly modulate spike timings.
Liste complète des métadonnées

Littérature citée [51 références]  Voir  Masquer  Télécharger

https://hal-uvsq.archives-ouvertes.fr/hal-01214044
Contributeur : Sylvain Chevallier <>
Soumis le : vendredi 9 octobre 2015 - 16:13:42
Dernière modification le : jeudi 9 février 2017 - 15:44:27
Document(s) archivé(s) le : jeudi 27 avril 2017 - 00:16:30

Fichier

fncom-08-00009.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Collections

Citation

Zoran Tiganj, Sylvain Chevallier, Eric Monacelli. Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers in Computational Neuroscience, Frontiers, 2014, 8 (9), 〈http://www.frontiersin.org/computational_neuroscience〉. 〈10.3389/fncom.2014.00009〉. 〈hal-01214044〉

Partager

Métriques

Consultations de la notice

162

Téléchargements de fichiers

53