Asynchronous and coherent dynamics in balanced excitatory-inhibitory spiking networks
Hongjie Bi, Matteo Di Volo, Alessandro Torcini

TL;DR
This paper investigates the diverse asynchronous and coherent dynamics in balanced excitatory-inhibitory spiking networks, revealing mechanisms for collective oscillations, chaos, and frequency locking through combined simulations and analytical models.
Contribution
It introduces a comprehensive analysis of E-I network regimes, identifying mechanisms for collective oscillations and chaos, and characterizing the coexistence of asynchronous and synchronized states.
Findings
Balanced E-I networks can exhibit multiple regimes including asynchronous and coherent oscillations.
Two mechanisms for collective oscillations are identified: PING-like and fluctuation-driven.
Coexistence of asynchronous and synchronized regimes in large networks is demonstrated.
Abstract
Dynamic excitatory-inhibitory (E-I) balance is a paradigmatic mechanism invoked to explain the irregular low firing activity observed in the cortex. However, we will show that the E-I balance can be at the origin of other regimes observable in the brain. The analysis is performed by combining simulations of sparse E-I networks composed of N spiking neurons with analytical investigations of low dimensional neural mass models. The bifurcation diagrams, derived for the neural mass model, allow to classify the asynchronous and coherent behaviours emerging any finite in-degree K. In the limit N >> K >> 1 both supra and sub-threshold balanced asynchronous regimes can be observed. Due to structural heterogeneity the asynchronous states are characterized by the splitting of the neurons in three groups: silent, fluctuation and mean driven. The coherent rhythms are characterized by regular or…
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Taxonomy
TopicsNeural dynamics and brain function · Nonlinear Dynamics and Pattern Formation · Functional Brain Connectivity Studies
