Large cortex model with map-based neurons (Rulkov et al 2004)

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We develop a new computationally efficient approach for the analysis of complex large-scale neurobiological networks. Its key element is the use of a new phenomenological model of a neuron capable of replicating important spike pattern characteristics and designed in the form of a system of difference equations (a map). ... Interconnected with synaptic currents these model neurons demonstrated responses very similar to those found with Hodgkin-Huxley models and in experiments. We illustrate the efficacy of this approach in simulations of one- and two-dimensional cortical network models consisting of regular spiking neurons and fast spiking interneurons to model sleep and activated states of the thalamocortical system. See paper for more.
1 . Rulkov NF, Timofeev I, Bazhenov M (2004) Oscillations in large-scale cortical networks: map-based model. J Comput Neurosci 17:203-23 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 pyramidal corticothalamic L6 cell; Neocortex fast spiking (FS) interneuron;
Gap Junctions:
Receptor(s): GabaA; AMPA;
Simulation Environment: C or C++ program;
Model Concept(s): Activity Patterns; Oscillations; Spatio-temporal Activity Patterns; Simplified Models; Sleep;
Implementer(s): Bazhenov, Maxim [Bazhenov at]; Rulkov, Nikolai [nrulkov at];
Search NeuronDB for information about:  Neocortex V1 pyramidal corticothalamic L6 cell; GabaA; AMPA;