Special issue on quantitative neuron modeling

DOI10.1007/s00422-008-0274-5zbMath1161.92301OpenAlexW2168271601WikidataQ57819770 ScholiaQ57819770MaRDI QIDQ999426

Felix Schürmann, Wulfram Gerstner, Walter Senn, Arnd Roth, Renaud Jolivet

Publication date: 3 February 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://www.zora.uzh.ch/id/eprint/156189/1/ZORA_NL_156189.pdf

Mathematics Subject Classification ID

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

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Uses Software

• Neurofitter

Cites Work

• Lapicque's 1907 paper: from frogs to integrate-and-fire
• A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models
• Spike-train spectra and network response functions for nonlinear integrate-and-fire neurons
• Modeling convergent ON and OFF pathways in the early visual system
• Automated neuron model optimization techniques: a review
• Extracting nonlinear integrate-and-fire models from experimental data using dynamic \(I-V\) curves
• Predicting single spikes and spike patterns with the Hindmarsh-Rose model
• The quantitative single-neuron modeling competition
• Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
• Firing patterns in the adaptive exponential integrate-and-fire model
• Dynamics and bifurcations of the adaptive exponential integrate-and-fire model
• Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model
• Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data
• The response of cortical neurons to in vivo-like input current: theory and experiment. II: Time-varying and spatially distributed inputs
• The response of cortical neurons to in vivo-like input current: Theory and experiment
• Information transmission in oscillatory neural activity