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.
Chaos and Correlated Avalanches in Excitatory Neural Networks with Synaptic Plasticity
Vezzani A;
2017
Abstract
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.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.ancejournal | PHYSICAL REVIEW LETTERS | - |
| dc.authority.orgunit | Istituto dei Materiali per l'Elettronica ed il Magnetismo - IMEM | - |
| dc.authority.people | Pittorino F | it |
| dc.authority.people | IbanezBerganza M | it |
| dc.authority.people | Di Volo M | it |
| dc.authority.people | Vezzani A | it |
| dc.authority.people | Burioni R | it |
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| dc.date.accessioned | 2024/02/20 17:56:16 | - |
| dc.date.available | 2024/02/20 17:56:16 | - |
| dc.date.issued | 2017 | - |
| dc.description.abstracteng | 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. | - |
| dc.description.affiliations | Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, via G.P. Usberti, 7/A, Parma, 43124, Italy; INFN, Gruppo Collegato di Parma, via G.P. Usberti, 7/A, Parma, 43124, Italy; Group for Neural Theory, Laboratoire de Neurosciences Cognitives, INSERM U960, École Normale Supérieure, Paris, 75005, France; IMEM-CNR, Parco Area delle Scienze, 37/a, Parma, 43124, Italy | - |
| dc.description.allpeople | Pittorino, F; Ibanezberganza, M; Di Volo, M; Vezzani, A; Burioni, R | - |
| dc.description.allpeopleoriginal | Pittorino F.; Ibanez-Berganza M.; Di Volo M.; Vezzani A.; Burioni R. | - |
| dc.description.fulltext | none | en |
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| dc.identifier.doi | 10.1103/PhysRevLett.118.098102 | - |
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| dc.subject.keywords | SELF-ORGANIZED CRITICALITY; INHIBITORY SPIKING NEURONS; PULSE-COUPLED OSCILLATORS; ASYNCHRONOUS STATES; SYNCHRONOUS CHAOS; CORTICAL ACTIVITY; CEREBRAL-CORTEX; DYNAMICS; MODEL; SYNAPSES | - |
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| dc.subject.singlekeyword | PULSE-COUPLED OSCILLATORS | * |
| dc.subject.singlekeyword | ASYNCHRONOUS STATES | * |
| dc.subject.singlekeyword | SYNCHRONOUS CHAOS | * |
| dc.subject.singlekeyword | CORTICAL ACTIVITY | * |
| dc.subject.singlekeyword | CEREBRAL-CORTEX | * |
| dc.subject.singlekeyword | DYNAMICS | * |
| dc.subject.singlekeyword | MODEL | * |
| dc.subject.singlekeyword | SYNAPSES | * |
| dc.title | Chaos and Correlated Avalanches in Excitatory Neural Networks with Synaptic Plasticity | en |
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| scopus.description.abstracteng | 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. | * |
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| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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