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Stimulus presentation can enhance spiking irregularity across subcortical and cortical regions.
Fayaz, Saleh; Fakharian, Mohammad Amin; Ghazizadeh, Ali.
Afiliación
  • Fayaz S; Electrical Engineering Department, Sharif University of Technology, Tehran, Iran.
  • Fakharian MA; Electrical Engineering Department, Sharif University of Technology, Tehran, Iran.
  • Ghazizadeh A; School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran.
PLoS Comput Biol ; 18(7): e1010256, 2022 07.
Article en En | MEDLINE | ID: mdl-35789328
Stimulus presentation is believed to quench neural response variability as measured by fano-factor (FF). However, the relative contributions of within-trial spike irregularity and trial-to-trial rate variability to FF fluctuations have remained elusive. Here, we introduce a principled approach for accurate estimation of spiking irregularity and rate variability in time for doubly stochastic point processes. Consistent with previous evidence, analysis showed stimulus-induced reduction in rate variability across multiple cortical and subcortical areas. However, unlike what was previously thought, spiking irregularity, was not constant in time but could be enhanced due to factors such as bursting abating the quench in the post-stimulus FF. Simulations confirmed plausibility of a time varying spiking irregularity arising from within and between pool correlations of excitatory and inhibitory neural inputs. By accurate parsing of neural variability, our approach reveals previously unnoticed changes in neural response variability and constrains candidate mechanisms that give rise to observed rate variability and spiking irregularity within brain regions.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Neurológicos / Neuronas Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Modelos Neurológicos / Neuronas Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Irán