Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model

DOI10.1007/s00422-008-0268-3zbMath1161.92011OpenAlexW2106474466WikidataQ33557166 ScholiaQ33557166MaRDI QIDQ999412

Michael London, Michael Häusser, Matthew E. Larkum

Publication date: 3 February 2009

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

Full work available at URL: https://doi.org/10.1007/s00422-008-0268-3

zbMATH Keywords

layer 5 cortical pyramidal neuronlinear integrate-and-fire modelpredicting every spikesynaptic information efficacy

Mathematics Subject Classification ID

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

Related Items (4)

Information Rate Analysis of a Synaptic Release Site Using a Two-State Model of Short-Term Depression ⋮ Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia ⋮ Special issue on quantitative neuron modeling ⋮ Information processing in the LGN: a comparison of neural codes and cell types

Cites Work

• Estimating the entropy of binary time series: methodology, some theory and a simulation study
• Predicting spike timing of neocortical pyramidal neurons by simple threshold models
• Estimating Entropy Rates with Bayesian Confidence Intervals
• Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron
• Computation in a Single Neuron: Hodgkin and Huxley Revisited
• The context-tree weighting method: basic properties

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