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Large cortex model with map-based neurons (Rulkov et al 2004)
 
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Model Information
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Citations
Simulation Platform
Accession:
45525
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.
Reference:
1 .
Rulkov NF, Timofeev I, Bazhenov M (2004) Oscillations in large-scale cortical networks: map-based model.
J Comput Neurosci
17
:203-23
[
PubMed
]
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 L5/6 pyramidal GLU cell;
Neocortex fast spiking (FS) interneuron;
Channel(s):
Gap Junctions:
Receptor(s):
GabaA;
AMPA;
Gene(s):
Transmitter(s):
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 Salk.edu];
Rulkov, Nikolai [nrulkov at ucsd.edu];
Search NeuronDB
for information about:
Neocortex L5/6 pyramidal GLU cell
;
GabaA
;
AMPA
;
Download the displayed file
/
largectx2004
index.html
colors.m
import2D.m
input2D.txt
movieMAP.m
network2D.cpp
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