Mostrar el registro sencillo del ítem
dc.contributor.author
Baravalle, Román
dc.contributor.author
Montani, Fernando Fabián
dc.date.available
2022-12-15T10:30:59Z
dc.date.issued
2021-04
dc.identifier.citation
Baravalle, Román; Montani, Fernando Fabián; Heterogeneity across neural populations: Its significance for the dynamics and functions of neural circuits; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 103; 4; 4-2021; 1-12
dc.identifier.issn
2470-0045
dc.identifier.uri
http://hdl.handle.net/11336/181228
dc.description.abstract
Neural populations show patterns of synchronous activity, as they share common correlated inputs. Neurons in the cortex that are connected by strong synapses cause rapid firing explosions. In addition, areas that are connected by weaker synapses have a slower dynamics and they can contribute to asymmetries in the input distributions. The aim of this work is to develop a neural model to investigate how the heterogeneities in the synaptic input distributions affect different levels of organizational activity in the brain dynamics. We analytically show how small changes in the correlation inputs can cause large changes in the interactions of the outputs that lead to a phase transition, demonstrating that a simple variation in the direction of a biased skewed distribution in the neuronal inputs can generate a transition of states in the firing rate, passing from spontaneous silence ("down state") to an absolute spiking activity ("up state"). We present an exact quantification of the dynamics of the output variables, showing that when considering a biased skewed distribution in the inputs of neuronal population, the critical point is not in an asynchronous or synchronous state but rather at an intermediate value.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Physical Society
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Neuronal Cortex
dc.subject
Heterogeneities in the synaptic input distributions
dc.subject
Spontaneous silence ("Down state") to an absolute spiking activity ("Up state")
dc.subject
Variation in the direction of a biased skewed distribution in the neuronal inputs
dc.subject.classification
Otras Ciencias Físicas
dc.subject.classification
Ciencias Físicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Heterogeneity across neural populations: Its significance for the dynamics and functions of neural circuits
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-09-20T15:51:23Z
dc.identifier.eissn
2470-0053
dc.journal.volume
103
dc.journal.number
4
dc.journal.pagination
1-12
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Baravalle, Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.description.fil
Fil: Montani, Fernando Fabián. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.journal.title
Physical Review E: Statistical, Nonlinear and Soft Matter Physics
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/accepted/cf07cRc8J2418115b86b5a4260f37634b2c192866
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.103.042308
Archivos asociados