Current Dipole in Laminar Neocortex (Lee et al. 2013)

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Laminar neocortical model in NEURON/Python, adapted from Jones et al 2009.
1 . Lee S, Jones SR (2013) Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network. Front Hum Neurosci 7:869 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Neocortex;
Cell Type(s):
Channel(s): I Na,t; I K; I M; I Calcium; I h; I T low threshold; I K,Ca;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA;
Simulation Environment: NEURON (web link to model); Python (web link to model); NEURON; Python;
Model Concept(s): Magnetoencephalography; Temporal Pattern Generation; Activity Patterns; Gamma oscillations; Oscillations; Current Dipole; Touch;
Implementer(s): Lee, Shane [shane_lee at];
Search NeuronDB for information about:  GabaA; GabaB; AMPA; NMDA; I Na,t; I T low threshold; I K; I M; I h; I K,Ca; I Calcium;
# expected run time < 160 s with 4 cores
# numbers of cells making up the pyramidal grids
N_pyr_x: 10
N_pyr_y: 10

# Ongoing proximal alpha rhythm
t0_input_prox: 50.
tstop_input_prox: 1000.
f_input_prox: 50.
f_stdev_prox: 2.5
input_prox_A_weight_L5Pyr_ampa: 4e-5
input_prox_A_delay_L5: 1.

# Ongoing distal alpha rhythm
t0_input_dist: 55.
tstop_input_dist: 1000.
f_input_dist: 50.
f_stdev_dist: 2.5
input_dist_A_weight_L5Pyr_ampa: 4e-5
input_dist_A_delay_L5: 1.

# set events per cycle to 1
events_per_cycle_prox: 1
events_per_cycle_dist: 1

# Numerics
tstop: 550.