Conductance-Based Integrate-and-Fire Models - Archive ouverte HAL
Article Dans Une Revue Neural Computation Année : 1997

Conductance-Based Integrate-and-Fire Models

Résumé

A conductance-based model of Na + and K + currents underlying action potential generation is introduced by simplifying the quantitative model of Hodgkin and Huxley (HH). If the time course of rate constants can be approximated by a pulse, HH equations can be solved analytically. Pulse-based (PB) models generate action potentials very similar to the HH model but are computationally faster. Unlike the classical integrate-and fire (IAF) approach, they take into account the changes of conductances during and after the spike, which have a determinant influence in shaping neuronal responses. Similarities and differences among PB, IAF, and HH models are illustrated for three cases: high-frequency repetitive firing, spike timing following random synaptic inputs, and network behavior in the presence of intrinsic currents.
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Dates et versions

hal-03660905 , version 1 (06-05-2022)

Identifiants

Citer

Alain Destexhe. Conductance-Based Integrate-and-Fire Models. Neural Computation, 1997, 9 (3), pp.503-514. ⟨10.1162/neco.1997.9.3.503⟩. ⟨hal-03660905⟩
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