Literature DB >> 9960846

Master-equation approach to stochastic neurodynamics.

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Abstract

Year:  1993        PMID： 9960846     DOI： 10.1103/physreve.48.2259

Source DB:  PubMed          Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics        ISSN： 1063-651X


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  11 in total

Review 1.  Finite-size and correlation-induced effects in mean-field dynamics.

Authors:  Jonathan D Touboul; G Bard Ermentrout
Journal:  J Comput Neurosci       Date:  2011-03-08       Impact factor: 1.621

2.  A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.

Authors:  Jiwei Zhang; Yuxiu Shao; Aaditya V Rangan; Louis Tao
Journal:  J Comput Neurosci       Date:  2019-02-16       Impact factor: 1.621

3.  Linking structure and activity in nonlinear spiking networks.

Authors:  Gabriel Koch Ocker; Krešimir Josić; Eric Shea-Brown; Michael A Buice
Journal:  PLoS Comput Biol       Date:  2017-06-23       Impact factor: 4.475

4.  The Wilson-Cowan model, 36 years later.

Authors:  Alain Destexhe; Terrence J Sejnowski
Journal:  Biol Cybern       Date:  2009-08-07       Impact factor: 2.086

5.  Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons.

Authors:  Javier Baladron; Diego Fasoli; Olivier Faugeras; Jonathan Touboul
Journal:  J Math Neurosci       Date:  2012-05-31       Impact factor: 1.300

6.  A Markov model for the temporal dynamics of balanced random networks of finite size.

Authors:  Fereshteh Lagzi; Stefan Rotter
Journal:  Front Comput Neurosci       Date:  2014-12-03       Impact factor: 2.380

7.  Toward Rigorous Parameterization of Underconstrained Neural Network Models Through Interactive Visualization and Steering of Connectivity Generation.

Authors:  Christian Nowke; Sandra Diaz-Pier; Benjamin Weyers; Bernd Hentschel; Abigail Morrison; Torsten W Kuhlen; Alexander Peyser
Journal:  Front Neuroinform       Date:  2018-06-01       Impact factor: 4.081

8.  Neural field models for latent state inference: Application to large-scale neuronal recordings.

Authors:  Michael E Rule; David Schnoerr; Matthias H Hennig; Guido Sanguinetti
Journal:  PLoS Comput Biol       Date:  2019-11-04       Impact factor: 4.475

9.  A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models.

Authors:  M Carlu; O Chehab; L Dalla Porta; D Depannemaecker; C Héricé; M Jedynak; E Köksal Ersöz; P Muratore; S Souihel; C Capone; Y Zerlaut; A Destexhe; M di Volo
Journal:  J Neurophysiol       Date:  2019-12-18       Impact factor: 2.714

10.  Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue.

Authors:  Paul C Bressloff; Bard Ermentrout; Olivier Faugeras; Peter J Thomas
Journal:  J Math Neurosci       Date:  2016-04-04       Impact factor: 1.300
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