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dc.contributor.author
Urdapilleta, Eugenio  
dc.date.available
2022-09-06T14:50:27Z  
dc.date.issued
2021-03  
dc.identifier.citation
Urdapilleta, Eugenio; Transition to synchronization in heterogeneous inhibitory neural networks with structured synapses; American Institute of Physics; Chaos; 31; 3; 3-2021; 1-12  
dc.identifier.issn
1054-1500  
dc.identifier.uri
http://hdl.handle.net/11336/167578  
dc.description.abstract
Inhibitory neurons form an extensive network involved in the development of different rhythms in the cerebral cortex. A transition from an incoherent state, where all inhibitory neurons fire unrelated to each other, to a synchronized or locked state, where all or most neurons define a tight firing pattern, is maybe the most salient process to analyze when considering neuronal rhythms. In this work, we analyzed whether different patterns of effective synaptic connectivity may support a first-order-like transition in this path to synchronization. Such an "explosive"phenomenon may be relevant in neural processes, as normal cognitive processing in different tasks and some neurological disorders manifest an increased power in many neuronal rhythms, supported by an extended concerted spiking activity and an abrupt change to this state. Furthermore, we built an adaptive mechanism that supports the generation of this kind of network, which rapidly creates the underlying structure based on the ongoing firing statistics.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Institute of Physics  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Inhibitory neurons  
dc.subject
Synchronization  
dc.subject
Oscillations  
dc.subject
Synapses  
dc.subject.classification
Otras Ciencias Físicas  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Transition to synchronization in heterogeneous inhibitory neural networks with structured synapses  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-08-30T20:03:17Z  
dc.identifier.eissn
1089-7682  
dc.journal.volume
31  
dc.journal.number
3  
dc.journal.pagination
1-12  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Nueva York  
dc.description.fil
Fil: Urdapilleta, Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Bariloche); Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro | Universidad Nacional de Cuyo. Instituto Balseiro. Archivo Histórico del Centro Atómico Bariloche e Instituto Balseiro; Argentina  
dc.journal.title
Chaos  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://aip.scitation.org/doi/10.1063/5.0038896  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1063/5.0038896