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.
Model Type: Realistic Network
Region(s) or Organism(s): Thalamus
Cell Type(s): Thalamus geniculate nucleus/lateral principal GLU cell; Thalamus reticular nucleus GABA cell; Neocortex L5/6 pyramidal GLU cell
Currents: I Na,t; I T low threshold; I A; I K,Ca
Model Concept(s): Synchronization; Synaptic Integration
Simulation Environment: NEURON
Implementer(s): Lytton, William [bill.lytton at downstate.edu]
References:
Bazhenov M, Timofeev I, Steriade M, Sejnowski TJ. (1998). Computational models of thalamocortical augmenting responses. The Journal of neuroscience : the official journal of the Society for Neuroscience. 18 [PubMed]