Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach

Wade, John J., McDaid, Liam J., Harkin, Jim, Crunelli, Vincenzo and Kelso, J. A. Scott 2011. Bidirectional Coupling between Astrocytes and Neurons Mediates Learning and Dynamic Coordination in the Brain: A Multiple Modeling Approach. PLoS ONE 6 (12) , e29445. 10.1371/journal.pone.0029445

[img]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

In recent years research suggests that astrocyte networks, in addition to nutrient and waste processing functions, regulate both structural and synaptic plasticity. To understand the biological mechanisms that underpin such plasticity requires the development of cell level models that capture the mutual interaction between astrocytes and neurons. This paper presents a detailed model of bidirectional signaling between astrocytes and neurons (the astrocyte-neuron model or AN model) which yields new insights into the computational role of astrocyte-neuronal coupling. From a set of modeling studies we demonstrate two significant findings. Firstly, that spatial signaling via astrocytes can relay a “learning signal” to remote synaptic sites. Results show that slow inward currents cause synchronized postsynaptic activity in remote neurons and subsequently allow Spike-Timing-Dependent Plasticity based learning to occur at the associated synapses. Secondly, that bidirectional communication between neurons and astrocytes underpins dynamic coordination between neuron clusters. Although our composite AN model is presently applied to simplified neural structures and limited to coordination between localized neurons, the principle (which embodies structural, functional and dynamic complexity), and the modeling strategy may be extended to coordination among remote neuron clusters.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Biosciences
Neuroscience and Mental Health Research Institute (NMHRI)
Subjects: Q Science > Q Science (General)
Publisher: PLoS
ISSN: 1932-6203
Date of First Compliant Deposit: 30 March 2016
Last Modified: 04 Jun 2017 04:04
URI: http://orca.cf.ac.uk/id/eprint/32178

Citation Data

Cited 34 times in Google Scholar. View in Google Scholar

Cited 56 times in Scopus. View in Scopus. Powered By Scopus® Data

Cited 26 times in Web of Science. View in Web of Science.

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics