Chaos and Correlated Avalanches in Excitatory Neural Networks with Synaptic Plasticity

A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram exhibits two transitions from quasisynchronous and asynchronous r...

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Bibliographic Details
Published in:Physical review letters 2017-03, Vol.118 (9), p.098102-098102, Article 098102
Main Authors: Pittorino, Fabrizio, Ibáñez-Berganza, Miguel, di Volo, Matteo, Vezzani, Alessandro, Burioni, Raffaella
Format: Article
Language:English
Subjects:
Avalanches
Bursting
Chaos theory
Computer simulation
Correlation
Disorders
Models, Neurological
Nerve Net - physiology
Neuronal Plasticity - physiology
Neurons - physiology
Nonlinear Dynamics
Plasticity
Scaling
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Summary:A collective chaotic phase with power law scaling of activity events is observed in a disordered mean field network of purely excitatory leaky integrate-and-fire neurons with short-term synaptic plasticity. The dynamical phase diagram exhibits two transitions from quasisynchronous and asynchronous regimes to the nontrivial, collective, bursty regime with avalanches. In the homogeneous case without disorder, the system synchronizes and the bursty behavior is reflected into a period doubling transition to chaos for a two dimensional discrete map. Numerical simulations show that the bursty chaotic phase with avalanches exhibits a spontaneous emergence of persistent time correlations and enhanced Kolmogorov complexity. Our analysis reveals a mechanism for the generation of irregular avalanches that emerges from the combination of disorder and deterministic underlying chaotic dynamics.
ISSN:0031-9007
1079-7114
DOI:10.1103/PhysRevLett.118.098102