Thalamocortical augmenting response (Bazhenov et al 1998)

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Accession:37819
In the cortical model, augmenting responses were more powerful in the "input" layer compared with those in the "output" layer. Cortical stimulation of the network model produced augmenting responses in cortical neurons in distant cortical areas through corticothalamocortical loops and low-threshold intrathalamic augmentation. ... The predictions of the model were compared with in vivo recordings from neurons in cortical area 4 and thalamic ventrolateral nucleus of anesthetized cats. The known intrinsic properties of thalamic cells and thalamocortical interconnections can account for the basic properties of cortical augmenting responses. See reference for details. NEURON implementation note: cortical SU cells are getting slightly too little stimulation - reason unknown.
Reference:
1 . Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ (1998) Computational models of thalamocortical augmenting responses. J Neurosci 18:6444-65 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Thalamus;
Cell Type(s): Thalamus geniculate nucleus (lateral) principal neuron; Thalamus reticular nucleus cell; Neocortex V1 pyramidal corticothalamic L6 cell;
Channel(s): I Na,t; I T low threshold; I A; I K,Ca;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Synchronization; Synaptic Integration;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu];
Search NeuronDB for information about:  Thalamus geniculate nucleus (lateral) principal neuron; Thalamus reticular nucleus cell; Neocortex V1 pyramidal corticothalamic L6 cell; GabaA; GabaB; AMPA; I Na,t; I T low threshold; I A; I K,Ca; Gaba; Glutamate;
Bazhenov thalamocortical augmenting response model
replicates Fig. 6B
Maxim Bazhenov, Igor Timofeev, Mircea Steriade, and Terrence J. Sejnowski
Computational Models of Thalamocortical Augmenting Responses
J. Neurosci. 1998 18: 6444-6465.

Usage :
nrnivmodl
nrngui batch_.hoc

NOTE:
Simulation replicated directly from M. Bazhenov's C++ file.

Cortical SU cells are getting too little stimulation; I was unable to
find the parameter discrepancy that accounted for this.

This simulation takes a couple of minutes to run on a 800 MHz Pentium
III mswin pc.

target simulation shown in jnsci18_6444F6B.jpg

20120112 cad.mod and gababS.mod updated to use derivimplicit and cnexp
in place of euler and cadecay.mod switched to derivimplicit as per
http://www.neuron.yale.edu/phpbb/viewtopic.php?f=28&t=592

20140310 tcifb.mod updated to be compatible with most recent
developers version of neuron (1027) which requires functions in C to
be called with the same number of arguments with which the function is
declared.  A net_send() call had a flag parameter added to it to
satisfy this. The results of the auto-launch demo simulation are
unchanged.
 

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