Synaptic balance due to homeostatically self-organized quasicritical dynamics

Author(s)

Girardi-Schappo, Mauricio ^[1] ; Brochini, Ludmila ^[2] ; Costa, Ariadne A. ^[3] ; Carvalho, Tawan T. A. ^[4] ; Kinouchi, Osame ^[1]

Affiliation

^[1] Univ Sao Paulo, Dept Fis, FFCLRP, BR-14040901 Ribeirao Preto, SP - Brazil

^[2] Univ Sao Paulo, Inst Matemat & Estat, BR-05508090 Sao Paulo, SP - Brazil

^[3] Univ Fed Goias Reg Jatai, Unidade Acad Especial Ciencias Exatas, BR-75801615 Jatai, Go - Brazil

^[4] Univ Fed Pernambuco, Dept Fis, BR-50670901 Recife, PE - Brazil

• Document type: Journal article
• Source: PHYSICAL REVIEW RESEARCH; v. 2, n. 1 FEB 20 2020.
• Web of Science Citations: 4

Abstract

Recent experiments suggested that a homeostatic regulation of synaptic balance leads the visual system to recover and maintain a regime of power-law avalanches. Here we study an excitatory/inhibitory (E/I) mean-field neuronal network that has a critical point with power-law avalanches and synaptic balance. When short-term depression in inhibitory synapses and firing threshold adaptation are added, the system hovers around the critical point. This homeostatically self-organized quasicritical (SOqC) dynamics generates E/I synaptic current cancellation in fast timescales, causing fluctuation-driven asynchronous-irregular (AI) firing. We present the full phase diagram of the model without adaptation varying external input versus synaptic coupling. This system has a rich dynamical repertoire of spiking patterns: synchronous regular (SR), asynchronous regular (AR), synchronous irregular (SI), slow oscillations (SO), and AI. It also presents dynamic balance of synaptic currents, since inhibitory currents try and compensate excitatory currents over time, resulting in both of them scaling linearly with external input. Our model thus unifies two different perspectives on cortical spontaneous activity: both critical avalanches and fluctuation-driven AI firing arise from SOqC homeostatic adaptation and are indeed two sides of the same coin. (AU)

• FAPESP's process: 16/24676-1 - Context trees applied to the statistical modeling of neural spike trains
• Grantee: Ludmila Brochini Rodrigues
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
• Grantee: Oswaldo Baffa Filho
• Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
• FAPESP's process: 19/12746-3 - Phase transitions in neuroscience
• Grantee: Osame Kinouchi Filho
• Support Opportunities: Scholarships abroad - Research
• FAPESP's process: 16/00430-3 - Computational simulations of stochastic integrate-and-fire neurons balanced networks
• Grantee: Ariadne de Andrade Costa
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 18/09150-9 - Stochastic and/or computational modeling of the brain functioning
• Grantee: Mauricio Girardi Schappo
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 16/20945-8 - Impact of Connection Topology on the Dynamics of Stochastic Integrate-and-Fire Neuronal Network
• Grantee: Ariadne de Andrade Costa
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor