ModelDB: Thalamocortical augmenting response (Bazhenov et al 1998)

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 GLU cell; Thalamus reticular nucleus GABA cell; Neocortex L5/6 pyramidal GLU 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 [bill.lytton at downstate.edu];