We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigate the dynamical regimes of a fully connected network of excitatory c-LIF neurons in the presence of short-term synaptic plasticity. By varying the coupling strength among neurons, we show that a complex chaotic dynamics arises, characterized by scale free avalanches. The origin of this phenomenon in the c-LIF can be related to the order symmetry breaking in neurons spike-times, which corresponds to the onset of a broad activity distribution. Our analysis uncovers a general mechanism through which networks of simple neurons can be attracted to a complex basin in the phase space.
Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential
Vezzani, Alessandro
;
2021
Abstract
We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigate the dynamical regimes of a fully connected network of excitatory c-LIF neurons in the presence of short-term synaptic plasticity. By varying the coupling strength among neurons, we show that a complex chaotic dynamics arises, characterized by scale free avalanches. The origin of this phenomenon in the c-LIF can be related to the order symmetry breaking in neurons spike-times, which corresponds to the onset of a broad activity distribution. Our analysis uncovers a general mechanism through which networks of simple neurons can be attracted to a complex basin in the phase space.| Campo DC | Valore | Lingua |
|---|---|---|
| dc.authority.ancejournal | CHAOS, SOLITONS AND FRACTALS | en |
| dc.authority.orgunit | Istituto dei Materiali per l'Elettronica ed il Magnetismo - IMEM | en |
| dc.authority.people | Stucchi, Marco | en |
| dc.authority.people | Pittorino, Fabrizio | en |
| dc.authority.people | Volo, Matteo di | en |
| dc.authority.people | Vezzani, Alessandro | en |
| dc.authority.people | Burioni, Raffaella | en |
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| dc.contributor.appartenenza | Istituto dei Materiali per l'Elettronica ed il Magnetismo - IMEM | * |
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| dc.date.accessioned | 2024/11/28 15:39:59 | - |
| dc.date.available | 2024/11/28 15:39:59 | - |
| dc.date.firstsubmission | 2024/11/27 22:54:30 | * |
| dc.date.issued | 2021 | - |
| dc.date.submission | 2024/11/28 15:39:09 | * |
| dc.description.abstracteng | We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigate the dynamical regimes of a fully connected network of excitatory c-LIF neurons in the presence of short-term synaptic plasticity. By varying the coupling strength among neurons, we show that a complex chaotic dynamics arises, characterized by scale free avalanches. The origin of this phenomenon in the c-LIF can be related to the order symmetry breaking in neurons spike-times, which corresponds to the onset of a broad activity distribution. Our analysis uncovers a general mechanism through which networks of simple neurons can be attracted to a complex basin in the phase space. | - |
| dc.description.allpeople | Stucchi, Marco; Pittorino, Fabrizio; Volo, Matteo di; Vezzani, Alessandro; Burioni, Raffaella | - |
| dc.description.allpeopleoriginal | Stucchi, Marco; Pittorino, Fabrizio; Volo, Matteo di; Vezzani, Alessandro; Burioni, Raffaella | en |
| dc.description.fulltext | restricted | en |
| dc.description.numberofauthors | 5 | - |
| dc.identifier.doi | 10.1016/j.chaos.2021.110946 | en |
| dc.identifier.isi | WOS:000663440600003 | en |
| dc.identifier.scopus | 2-s2.0-85104966307 | en |
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| dc.identifier.uri | https://hdl.handle.net/20.500.14243/513361 | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0960077921003003 | en |
| dc.language.iso | eng | en |
| dc.relation.firstpage | 110946-1 | en |
| dc.relation.lastpage | 110946-8 | en |
| dc.relation.numberofpages | 8 | en |
| dc.relation.volume | 147 | en |
| dc.subject.keywordseng | Synchronization, networks of spiking neurons, Order symmetry breaking, Neuronal avalanches. | - |
| dc.subject.singlekeyword | Synchronization | * |
| dc.subject.singlekeyword | networks of spiking neurons | * |
| dc.subject.singlekeyword | Order symmetry breaking | * |
| dc.subject.singlekeyword | Neuronal avalanches | * |
| dc.title | Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential | en |
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| isi.contributor.surname | Stucchi | - |
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| isi.description.abstracteng | We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigate the dynamical regimes of a fully connected network of excitatory c-LIF neurons in the presence of short-term synaptic plasticity. By varying the coupling strength among neurons, we show that a complex chaotic dynamics arises, characterized by scale free avalanches. The origin of this phenomenon in the c-LIF can be related to the order symmetry breaking in neurons spike-times, which corresponds to the onset of a broad activity distribution. Our analysis uncovers a general mechanism through which networks of simple neurons can be attracted to a complex basin in the phase space.(c) 2021 Elsevier Ltd. All rights reserved. | * |
| isi.description.allpeopleoriginal | Stucchi, M; Pittorino, F; di Volo, M; Vezzani, A; Burioni, R; | * |
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| scopus.contributor.name | Alessandro | - |
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| scopus.contributor.subaffiliation | Department of Biology; | - |
| scopus.contributor.subaffiliation | Artificial Intelligence Lab;Institute for Data Science and Analytics; | - |
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| scopus.contributor.subaffiliation | Dipartimento di Scienze Matematiche;Fisiche e Informatiche; | - |
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| scopus.contributor.surname | Vezzani | - |
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| scopus.date.issued | 2021 | * |
| scopus.description.abstracteng | We introduce an exactly integrable version of the well-known leaky integrate-and-fire (LIF) model, with continuous membrane potential at the spiking event, the c-LIF. We investigate the dynamical regimes of a fully connected network of excitatory c-LIF neurons in the presence of short-term synaptic plasticity. By varying the coupling strength among neurons, we show that a complex chaotic dynamics arises, characterized by scale free avalanches. The origin of this phenomenon in the c-LIF can be related to the order symmetry breaking in neurons spike-times, which corresponds to the onset of a broad activity distribution. Our analysis uncovers a general mechanism through which networks of simple neurons can be attracted to a complex basin in the phase space. | * |
| scopus.description.allpeopleoriginal | Stucchi M.; Pittorino F.; Volo M.D.; Vezzani A.; Burioni R. | * |
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| scopus.relation.article | 110946 | * |
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| scopus.subject.keywords | Chaos; Criticality; Neuron dynamics; Oscillations; Symmetry breaking; Synchronization; | * |
| scopus.title | Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential | * |
| scopus.titleeng | Order symmetry breaking and broad distribution of events in spiking neural networks with continuous membrane potential | * |
| Appare nelle tipologie: | 01.01 Articolo in rivista | |
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