Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro

DOI10.1007/S00422-011-0458-2zbMath1248.92012DBLPjournals/bc/PospischilPBD11OpenAlexW2158798384WikidataQ45810524 ScholiaQ45810524MaRDI QIDQ714138

Alain Destexhe, Zuzanna Piwkowska, Martin Pospischil, Thierry Bal

Publication date: 19 October 2012

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

Full work available at URL: https://doi.org/10.1007/s00422-011-0458-2

zbMATH Keywords

genetic algorithmscerebral cortexspiking neuron modelsmodel fittingin vitro

Mathematics Subject Classification ID

Neural biology (92C20) Computational methods for problems pertaining to biology (92-08)

Related Items (1)

Controlling Complexity of Cerebral Cortex Simulations—II: Streamlined Microcircuits

Uses Software

• Neurofitter
• Unnamed Item

Cites Work

• Noise and the PSTH response to current transients. II: Integrate-and-fire model with slow recovery and application to motoneuron data.
• Automated neuron model optimization techniques: a review
• The quantitative single-neuron modeling competition
• Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models
• Unnamed Item

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