Models that contain the Implementer : Bazhenov, Maxim [Bazhenov at Salk.edu]

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    Models   Description
1.  Large cortex model with map-based neurons (Rulkov et al 2004)
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.
2.  Single cell model with variable ion concentrations and Na+/K+ ATPase (Krishnan et al. 2015)
This is a single cell model with variable intra and extra cellular ion concentrations for Na+, K+ and Cl- ions. This model also incorporates both the electrogenic and ionic concentration effects of the Na+/K+ pump. The program in this archive will run under CONTENT software to generate various bifurcation plots.
3.  Sleep-wake transitions in corticothalamic system (Bazhenov et al 2002)
The authors investigate the transition between sleep and awake states with intracellular recordings in cats and computational models. The model describes many essential features of slow wave sleep and activated states as well as the transition between them.

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