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

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Accession:156780
"... 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. "
Reference:
1 . Hay E, Segev I (2015) Dendritic Excitability and Gain Control in Recurrent Cortical Microcircuits. Cereb Cortex 25:3561-71 [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 L5/6 pyramidal GLU 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;
Gene(s):
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 L5/6 pyramidal GLU 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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HaySegev2014
models
readme.txt
Ca_HVA.mod *
Ca_LVAst.mod *
CaDynamics_E2.mod *
epsp.mod *
Ih.mod *
Im.mod *
K_Pst.mod *
K_Tst.mod *
Nap_Et2.mod *
NaTa_t.mod *
NaTs2_t.mod *
ProbAMPANMDA2.mod *
ProbUDFsyn2.mod *
SK_E2.mod *
SKv3_1.mod *
cell1.asc *
microcircuit.hoc
                            
Author: Etay Hay 2014

Reference: Dendritic excitability and gain control in recurrent
cortical microcircuits (Hay and Segev, 2014, Cerebral Cortex)

microcircuit.hoc:
Parallel simulation of microcircuit of L5 thick tufted pyramidal cells
(TTCs).

Parameters for the user to play with:
1. Nmc = number of cells in the microcircuits
2. connectivity = 0 or 1, whether the cells are interconnected or not
3. modelnum = 1 to 6, referring to the different biophysical models
4. condition = simulation condition, see comments in file for options

Changelog
---------
2022-05: Updated MOD files to contain valid C++ and be compatible with
         the upcoming versions 8.2 and 9.0 of NEURON.

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