Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
Visualitza/Obre
10.1371/journal.pcbi.1003723
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/26619
Tipus de documentArticle
Data publicació2014-07-01
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Synchronization between neuronal populations plays an important role in information transmission between brain areas. In
particular, collective oscillations emerging from the synchronized activity of thousands of neurons can increase the
functional connectivity between neural assemblies by coherently coordinating their phases. This synchrony of neuronal
activity can take place within a cortical patch or between different cortical regions. While short-range interactions between
neurons involve just a few milliseconds, communication through long-range projections between different regions could
take up to tens of milliseconds. How these heterogeneous transmission delays affect communication between neuronal
populations is not well known. To address this question, we have studied the dynamics of two bidirectionally delayedcoupled
neuronal populations using conductance-based spiking models, examining how different synaptic delays give rise
to in-phase/anti-phase transitions at particular frequencies within the gamma range, and how this behavior is related to the
phase coherence between the two populations at different frequencies. We have used spectral analysis and information
theory to quantify the information exchanged between the two networks. For different transmission delays between the
two coupled populations, we analyze how the local field potential and multi-unit activity calculated from one population
convey information in response to a set of external inputs applied to the other population. The results confirm that zero-lag
synchronization maximizes information transmission, although out-of-phase synchronization allows for efficient
communication provided the coupling delay, the phase lag between the populations, and the frequency of the oscillations
are properly matched.
CitacióBarardi, A.; Sancristobal, B.; Garcia-Ojalvo, J. Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations. "PLOS computational biology", 01 Juliol 2014, vol. 10, núm. 7.
ISSN1553-734X
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Phase-Coherence Transitions.pdf | 858,0Kb | Visualitza/Obre |