From Biophysical to Integrate-and-Fire Modeling

DOI10.1162/neco_a_01353zbMath1469.92034arXiv2006.10113OpenAlexW3118891173WikidataQ104747896 ScholiaQ104747896MaRDI QIDQ5004316

Tomas van Pottelbergh, Guillaume Drion, Rodolphe J. Sepulchre

Publication date: 30 July 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.10113

Mathematics Subject Classification ID

Neural biology (92C20) Biophysics (92C05)

Cites Work

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• Reduction of conductance-based neuron models
• Linear approximations of nonlinear FIR systems for separable input processes
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models
• A Generalized Linear Integrate-and-Fire Neural Model Produces Diverse Spiking Behaviors
• Approximate linear realizations of given dimension via Ho's algorithm
• A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems
• An Organizing Center in a Planar Model of Neuronal Excitability
• Robust Modulation of Integrate-and-Fire Models

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