Microcircuits of L5 thick tufted pyramidal cells (Hay & Segev 2015)

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"... We simulated detailed conductance-based models of TTCs (Layer 5 thick tufted pyramidal cells) forming recurrent microcircuits that were interconnected as found experimentally; the network was embedded in a realistic background synaptic activity. ... Our findings indicate that dendritic nonlinearities are pivotal in controlling the gain and the computational functions of TTCs microcircuits, which serve as a dominant output source for the neocortex. "
1 . Hay E, Segev I (2015) Dendritic excitability and gain control in recurrent cortical microcircuits Cerebral Cortex 25(10):3561-3571 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Dendrite;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex V1 pyramidal corticothalamic L6 cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I M; I h; I K,Ca; I A, slow;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA; Glutamate;
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Laminar Connectivity; Orientation selectivity;
Implementer(s): Hay, Etay [etay.hay at mail.huji.ac.il];
Search NeuronDB for information about:  Neocortex V1 pyramidal corticothalamic L6 cell; GabaA; AMPA; NMDA; Glutamate; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I M; I h; I K,Ca; I A, slow; Gaba; Glutamate;
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