Literature DB >> 9097470

Conductance-based integrate-and-fire models.

A Destexhe1.   

Abstract

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.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9097470     DOI: 10.1162/neco.1997.9.3.503

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  19 in total

1.  Early cortical orientation selectivity: how fast inhibition decodes the order of spike latencies.

Authors:  A Delorme
Journal:  J Comput Neurosci       Date:  2003 Nov-Dec       Impact factor: 1.621

2.  Essential role of the persistent sodium current in spike initiation during slowly rising inputs in mouse spinal neurones.

Authors:  J J Kuo; R H Lee; L Zhang; C J Heckman
Journal:  J Physiol       Date:  2006-05-25       Impact factor: 5.182

3.  Models of passive and active dendrite motoneuron pools and their differences in muscle force control.

Authors:  Leonardo Abdala Elias; Vitor Martins Chaud; André Fabio Kohn
Journal:  J Comput Neurosci       Date:  2012-05-06       Impact factor: 1.621

4.  Simulation system of spinal cord motor nuclei and associated nerves and muscles, in a Web-based architecture.

Authors:  Rogerio R L Cisi; André F Kohn
Journal:  J Comput Neurosci       Date:  2008-05-28       Impact factor: 1.621

5.  The optimal neural strategy for a stable motor task requires a compromise between level of muscle cocontraction and synaptic gain of afferent feedback.

Authors:  Jakob L Dideriksen; Francesco Negro; Dario Farina
Journal:  J Neurophysiol       Date:  2015-07-22       Impact factor: 2.714

6.  A spiking neural network model of the medial superior olive using spike timing dependent plasticity for sound localization.

Authors:  Brendan Glackin; Julie A Wall; Thomas M McGinnity; Liam P Maguire; Liam J McDaid
Journal:  Front Comput Neurosci       Date:  2010-08-03       Impact factor: 2.380

7.  Optimality and robustness of a biophysical decision-making model under norepinephrine modulation.

Authors:  Philip Eckhoff; K F Wong-Lin; Philip Holmes
Journal:  J Neurosci       Date:  2009-04-01       Impact factor: 6.167

8.  Network-state modulation of power-law frequency-scaling in visual cortical neurons.

Authors:  Sami El Boustani; Olivier Marre; Sébastien Béhuret; Pierre Baudot; Pierre Yger; Thierry Bal; Alain Destexhe; Yves Frégnac
Journal:  PLoS Comput Biol       Date:  2009-09-25       Impact factor: 4.475

9.  Estimation of the synaptic input firing rates and characterization of the stimulation effects in an auditory neuron.

Authors:  Ryota Kobayashi; Jufang He; Petr Lansky
Journal:  Front Comput Neurosci       Date:  2015-05-18       Impact factor: 2.380

10.  A novel role of dendritic gap junction and mechanisms underlying its interaction with thalamocortical conductance in fast spiking inhibitory neurons.

Authors:  Qian-Quan Sun
Journal:  BMC Neurosci       Date:  2009-10-29       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.