Literature DB >> 15484883

Which model to use for cortical spiking neurons?

Eugene M Izhikevich1.   

Abstract

We discuss the biological plausibility and computational efficiency of some of the most useful models of spiking and bursting neurons. We compare their applicability to large-scale simulations of cortical neural networks.

Mesh：

Year:  2004        PMID： 15484883     DOI： 10.1109/TNN.2004.832719

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN： 1045-9227


  249 in total

1.  Oscillations in large-scale cortical networks: map-based model.

Authors:  N F Rulkov; I Timofeev; M Bazhenov
Journal:  J Comput Neurosci       Date:  2004 Sep-Oct       Impact factor: 1.621

2.  Neuromechanical representation of fabric-evoked prickliness: a fiber-skin-neuron model.

Authors:  Hu Jiyong; Li Yi; Ding Xin; Hu Junyan
Journal:  Cogn Neurodyn       Date:  2010-12-01       Impact factor: 5.082

3.  A discrete time neural network model with spiking neurons: II: dynamics with noise.

Authors:  B Cessac
Journal:  J Math Biol       Date:  2010-07-24       Impact factor: 2.259

4.  Dynamics of excitability over extended timescales in cultured cortical neurons.

Authors:  Asaf Gal; Danny Eytan; Avner Wallach; Maya Sandler; Jackie Schiller; Shimon Marom
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

5.  Effect of network topology on neuronal encoding based on spatiotemporal patterns of spikes.

Authors:  Petra E Vertes; Thomas Duke
Journal:  HFSP J       Date:  2010-05-07

6.  Formation and disruption of tonotopy in a large-scale model of the auditory cortex.

Authors:  Markéta Tomková; Jakub Tomek; Ondřej Novák; Ondřej Zelenka; Josef Syka; Cyril Brom
Journal:  J Comput Neurosci       Date:  2015-09-07       Impact factor: 1.621

7.  Incorporating spike-rate adaptation into a rate code in mathematical and biological neurons.

Authors:  Bridget N Ralston; Lucas Q Flagg; Eric Faggin; John T Birmingham
Journal:  J Neurophysiol       Date:  2016-02-17       Impact factor: 2.714

8.  Action potential onset dynamics and the response speed of neuronal populations.

Authors:  B Naundorf; T Geisel; F Wolf
Journal:  J Comput Neurosci       Date:  2005-06       Impact factor: 1.621

9.  Predicting spike timing of neocortical pyramidal neurons by simple threshold models.

Authors:  Renaud Jolivet; Alexander Rauch; Hans-Rudolf Lüscher; Wulfram Gerstner
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

10.  Tunable low energy, compact and high performance neuromorphic circuit for spike-based synaptic plasticity.

Authors:  Mostafa Rahimi Azghadi; Nicolangelo Iannella; Said Al-Sarawi; Derek Abbott
Journal:  PLoS One       Date:  2014-02-13       Impact factor: 3.240
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