Modeling multiple time scale firing rate adaptation in a neural network of local field potentials

DOI10.1007/s10827-014-0536-2zbMath1409.92013OpenAlexW2084553132WikidataQ51024541 ScholiaQ51024541MaRDI QIDQ1732678

Brian Nils Lundstrom

Publication date: 25 March 2019

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-014-0536-2

zbMATH Keywords

neural networksmultiple time scalerate adaptationlocal field potentialsslow oscillations

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Networks that learn the precise timing of event sequences

Cites Work

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• Rate Models for Conductance-Based Cortical Neuronal Networks
• Two Computational Regimes of a Single-Compartment Neuron Separated by a Planar Boundary in Conductance Space

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