UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Estimating integrated information in bidirectional neuron-astrocyte communication

Abrego, L; Gordleeva, S; Kanakov, O; Krivonosov, M; Zaikin, A; (2021) Estimating integrated information in bidirectional neuron-astrocyte communication. Physical Review E , 103 (2) 10.1103/PhysRevE.103.022410. Green open access

[thumbnail of PhysRevE.103.022410.pdf]
Preview
Text
PhysRevE.103.022410.pdf - Published Version

Download (1MB) | Preview

Abstract

There is growing evidence that suggests the importance of astrocytes as elements for neural information processing through the modulation of synaptic transmission. A key aspect of this problem is understanding the impact of astrocytes in the information carried by compound events in neurons across time. In this paper, we investigate how the astrocytes participate in the information integrated by individual neurons in an ensemble through the measurement of “integrated information.” We propose a computational model that considers bidirectional communication between astrocytes and neurons through glutamate-induced calcium signaling. Our model highlights the role of astrocytes in information processing through dynamical coordination. Our findings suggest that the astrocytic feedback promotes synergetic influences in the neural communication, which is maximized when there is a balance between excess correlation and spontaneous spiking activity. The results were further linked with additional measures such as net synergy and mutual information. This result reinforces the idea that astrocytes have integrative properties in communication among neurons.

Type: Article
Title: Estimating integrated information in bidirectional neuron-astrocyte communication
Open access status: An open access version is available from UCL Discovery
DOI: 10.1103/PhysRevE.103.022410
Publisher version: https://doi.org/10.1103/PhysRevE.103.022410
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL EGA Institute for Womens Health > Womens Cancer
URI: https://discovery.ucl.ac.uk/id/eprint/10125184
Downloads since deposit
309Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item