The quantitative single-neuron modeling competition

DOI10.1007/s00422-008-0261-xzbMath1161.92009OpenAlexW2166824660WikidataQ40027556 ScholiaQ40027556MaRDI QIDQ999399

Arnd Roth, Renaud Jolivet, Richard Naud, Felix Schürmann, Thomas K. Berger, Wulfram Gerstner

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/156190/1/ZORA_NL_156190.pdf

zbMATH Keywords

integrate-and-fire modelbenchmark testingquantitative predictionsscientific competition

Mathematics Subject Classification ID

Neural biology (92C20) Biophysics (92C05)

Related Items (9)

Firing-rate models for neurons with a broad repertoire of spiking behaviors ⋮ Dynamic behaviors of the FitzHugh-Nagumo neuron model with state-dependent impulsive effects ⋮ An adaptive generalized leaky integrate-and-fire model for hippocampal CA1 pyramidal neurons and interneurons ⋮ Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro ⋮ On the Simulation of Nonlinear Bidimensional Spiking Neuron Models ⋮ Extracting nonlinear integrate-and-fire models from experimental data using dynamic \(I-V\) curves ⋮ Special issue on quantitative neuron modeling ⋮ Unnamed Item ⋮ PERIODICALLY FORCED PIECEWISE-LINEAR ADAPTIVE EXPONENTIAL INTEGRATE-AND-FIRE NEURON

Cites Work

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• A Novel Spike Distance
• Minimal Models of Adapted Neuronal Response to In Vivo–Like Input Currents
• Metric-space analysis of spike trains: theory, algorithms and application
• Spiking Neuron Models
• What Causes a Neuron to Spike?
• Phase Precession Through Synaptic Facilitation

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