Literature DB >> 18244602

Simple model of spiking neurons.

E M Izhikevich1.   

Abstract

A model is presented that reproduces spiking and bursting behavior of known types of cortical neurons. The model combines the biologically plausibility of Hodgkin-Huxley-type dynamics and the computational efficiency of integrate-and-fire neurons. Using this model, one can simulate tens of thousands of spiking cortical neurons in real time (1 ms resolution) using a desktop PC.

Entities:  

Year:  2003        PMID： 18244602     DOI： 10.1109/TNN.2003.820440

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


  541 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.  Does dynamical synchronization among neurons facilitate learning and enhance task performance?

Authors:  David Chik
Journal:  J Comput Neurosci       Date:  2012-01-08       Impact factor: 1.621

3.  Network bursting using experimentally constrained single compartment CA3 hippocampal neuron models with adaptation.

Authors:  Muhammad Dur-e-Ahmad; Wilten Nicola; Sue Ann Campbell; Frances K Skinner
Journal:  J Comput Neurosci       Date:  2011-12-02       Impact factor: 1.621

4.  Learning complex temporal patterns with resource-dependent spike timing-dependent plasticity.

Authors:  Jason F Hunzinger; Victor H Chan; Robert C Froemke
Journal:  J Neurophysiol       Date:  2012-04-11       Impact factor: 2.714

5.  Spiking neural network simulation: memory-optimal synaptic event scheduling.

Authors:  Robert D Stewart; Kevin N Gurney
Journal:  J Comput Neurosci       Date:  2010-11-03       Impact factor: 1.621

6.  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

7.  Statistical comparison of spike responses to natural stimuli in monkey area V1 with simulated responses of a detailed laminar network model for a patch of V1.

Authors:  Malte J Rasch; Klaus Schuch; Nikos K Logothetis; Wolfgang Maass
Journal:  J Neurophysiol       Date:  2010-11-24       Impact factor: 2.714

8.  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

9.  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

10.  Reduction of spike afterdepolarization by increased leak conductance alters interspike interval variability.

Authors:  Fernando R Fernandez; John A White
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167
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