ArticleCognitive neurodynamics2019
The impact of spike-frequency adaptation on balanced network dynamics.
Article in Cognitive neurodynamics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Distance-dependent connectivity in the brain facilitates high dynamical and structural complexity.Cognitive neurodynamics · 2026Article
- A novel image-based neuronal network model framework for understanding visual multistability and neurological disorders.Frontiers in computational neuroscience · 2026Article
- Increased Network Inhibition in the Dentate Gyrus of Adult Neuroligin-4 Knock-Out Mice.eNeuro · 2023Article
- New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics.Frontiers in computational neuroscience · 2023Article
- Theoretical analysis of effects of transcranial magneto-acoustical stimulation on neuronal spike-frequency adaptation.BMC neuroscience · 2022Article
- Functional Implications of Dale's Law in Balanced Neuronal Network Dynamics and Decision Making.Frontiers in neuroscience · 2022Article
- Induction and propagation of transient synchronous activity in neural networks endowed with short-term plasticity.Cognitive neurodynamics · 2021Article
- Points and lines inside human brains.Cognitive neurodynamics · 2019Review
- Compressive Sensing Inference of Neuronal Network Connectivity in Balanced Neuronal Dynamics.Frontiers in neuroscience · 2019Article
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3 authors.
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Abstract
A dynamic balance between strong excitatory and inhibitory neuronal inputs is hypothesized to play a pivotal role in information processing in the brain. While there is evidence of the existence of a balanced operating regime in several cortical areas and idealized neuronal network models, it is important for the theory of balanced networks to be reconciled with more physiological neuronal modeling assumptions. In this work, we examine the impact of spike-frequency adaptation, observed widely across neurons in the brain, on balanced dynamics. We incorporate adaptation into binary and integrate-and-fire neuronal network models, analyzing the theoretical effect of adaptation in the large network limit and performing an extensive numerical investigation of the model adaptation parameter space. Our analysis demonstrates that balance is well preserved for moderate adaptation strength even if the entire network exhibits adaptation. In the common physiological case in which only excitatory neurons undergo adaptation, we show that the balanced operating regime in fact widens relative to the non-adaptive case. We hypothesize that spike-frequency adaptation may have been selected through evolution to robustly facilitate balanced dynamics across diverse cognitive operating states.
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