Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons

Antonio Politi, Ekkehard Ullner (Corresponding Author), Alessandro Torcini

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Abstract

We extensively explore networks of weakly unbalanced, leaky integrate-and-fire (LIF) neurons for different coupling strength, connectivity, and by varying the degree of refractoriness, as well as the delay in the spike transmission. We find that the neural network does not only exhibit a microscopic (single-neuron) stochastic-like evolution, but also a collective irregular dynamics (CID). Our analysis is based on the computation of a suitable order parameter, typically used to characterize synchronization phenomena and on a detailed scaling analysis (i.e. simulations of different network sizes). As a result, we can conclude that CID is a true thermodynamic phase, intrinsically different from the standard asynchronous regime.
Original languageEnglish
Pages (from-to)1185-1204
Number of pages20
JournalThe European Physical Journal. Special Topics
Volume227
Issue number10-11
Early online date12 Dec 2018
DOIs
Publication statusPublished - Dec 2018

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neurons
Neurons
Fires
Synchronization
Thermodynamics
Neural networks
spikes
synchronism
scaling
thermodynamics
simulation

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Collective irregular dynamics in balanced networks of leaky integrate-and-fire neurons. / Politi, Antonio; Ullner, Ekkehard (Corresponding Author); Torcini, Alessandro.

In: The European Physical Journal. Special Topics, Vol. 227, No. 10-11, 12.2018, p. 1185-1204.

Research output: Contribution to journalArticle

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