Self-organized criticality in a network of interacting neurons

DOI10.1088/1742-5468/2013/04/P04030zbMath1456.82802arXiv1209.3829OpenAlexW3099055630WikidataQ105609295 ScholiaQ105609295MaRDI QIDQ3301592

Jeremy Neuman, Jack D. Cowan, Bert Kiewiet, Wim van Drongelen

Publication date: 11 August 2020

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1209.3829

Mathematics Subject Classification ID

Neural nets applied to problems in time-dependent statistical mechanics (82C32) Dynamic renormalization group methods applied to problems in time-dependent statistical mechanics (82C28)

Related Items (3)

Scale free avalanches in excitatory-inhibitory populations of spiking neurons with conductance based synaptic currents ⋮ Stochastic network models in neuroscience: a Festschrift for Jack Cowan. Introduction to the special issue ⋮ Bi-SOC-states in one-dimensional random cellular automaton

Cites Work

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• Duality in interacting particle systems and boson representation
• The field theory approach to percolation processes
• Self-organized criticality
• CONNECTIVITY AND THE DYNAMICS OF INTEGRATE-AND-FIRE NEURAL NETWORKS
• A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue

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