ModelDB: Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)

Efficient simulation environment for modeling large-scale cortical processing (Richert et al. 2011)

Accession: 142062

"We have developed a spiking neural network simulator, which is both easy to use and computationally efficient, for the generation of large-scale computational neuroscience models. The simulator implements current or conductance based Izhikevich neuron networks, having spike-timing dependent plasticity and short-term plasticity. ..."
Reference: Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient simulation environment for modeling large-scale cortical processing. Front Neuroinform 5:19 [PubMed]

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Model Information (Click on a link to find other models with that property)

Model Type:	Network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:	Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):	GabaA; GabaB; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment:	C or C++ program (web link to model);
Model Concept(s):	Short-term Synaptic Plasticity; Long-term Synaptic Plasticity; Methods; STDP;
Implementer(s):

Search NeuronDB for information about: GabaA; GabaB; AMPA; NMDA;

Model files (located externally to ModelDB) Help downloading and running models

The paper:

Richert M, Nageswaran JM, Dutt N, Krichmar JL (2011) An efficient
simulation environment for modeling large-scale cortical
processing. Front Neuroinform 5:19

contains a link to the source code for their simulator:

http://www.socsci.uci.edu/~jkrichma/Richert-FrontNeuroinf-SourceCode.zip

It compiles under linux and requires an NVIDIA Cuda Driver and SDK to
be installed.

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