Criticality predicts maximum irregularity in recurrent networks of excitatory nodes

Open Access

Peer-reviewed

Research Article

About the Authors

Yahya Karimipanah

Roles Conceptualization, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliation Department of Physics, Washington University in St. Louis, St. Louis, MO, United States of America

Zhengyu Ma

Roles Formal analysis, Visualization

Affiliation Department of Physics, Washington University in St. Louis, St. Louis, MO, United States of America

Ralf Wessel

Roles Conceptualization, Funding acquisition, Supervision, Writing – review & editing

Affiliation Department of Physics, Washington University in St. Louis, St. Louis, MO, United States of America

The authors have declared that no competing interests exist.

Single neuron function
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Neural networks
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Action potentials
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Neurons
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Network analysis
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Recurrent neural networks
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Eigenvalues
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Neuronal tuning
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