Multilevel and multifaceted brain response features in spiking, ERP and ERD: experimental observation and simultaneous generation in a neuronal network model with excitation–inhibition balance

Guang Ouyang, Shengjun Wang, Mianxin Liu, Mingsha Zhang, Changsong Zhou*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

Abstract

Brain as a dynamic system responds to stimulations with specific patterns affected by its inherent ongoing dynamics. The patterns are manifested across different levels of organization—from spiking activity of neurons to collective oscillations in local field potential (LFP) and electroencephalogram (EEG). The multilevel and multifaceted response activities show patterns seemingly distinct and non-comparable from each other, but they should be coherently related because they are generated from the same underlying neural dynamic system. A coherent understanding of the interrelationships between different levels/aspects of activity features is important for understanding the complex brain functions. Here, based on analysis of data from human EEG, monkey LFP and neuronal spiking, we demonstrated that the brain response activities from different levels of neural system are highly coherent: the external stimulus simultaneously generated event-related potentials, event-related desynchronization, and variation in neuronal spiking activities that precisely match with each other in the temporal unfolding. Based on a biologically plausible but generic network of conductance-based integrate-and-fire excitatory and inhibitory neurons with dense connections, we showed that the multiple key features can be simultaneously produced at critical dynamical regimes supported by excitation–inhibition (E–I) balance. The elucidation of the inherent coherency of various neural response activities and demonstration of a simple dynamical neural circuit system having the ability to simultaneously produce multiple features suggest the plausibility of understanding high-level brain function and cognition from elementary and generic neuronal dynamics.

Original languageEnglish
Pages (from-to)1417–1431
Number of pages15
JournalCognitive Neurodynamics
Volume17
Issue number6
Early online date23 Nov 2022
DOIs
Publication statusPublished - Dec 2023

Scopus Subject Areas

  • Cognitive Neuroscience

User-Defined Keywords

  • ERP and ERD
  • Excitation–inhibition (E–I) balance
  • Multilevel neural activity
  • Nonlinear neural dynamics
  • Self-organized criticality

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