Vertical System (VS) tangential cells network model (Trousdale et al. 2014)

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Accession:155727
Network model of the VS tangential cell system, with 10 cells per hemisphere. Each cell is a two compartment model with one compartment for dendrites and one for the axon. The cells are coupled through axonal gap junctions. The code allows to simulate responses of the VS network to a variety of visual stimuli to investigate coding as a function of gap junction strength.
Reference:
1 . Trousdale J, Carroll SR, Gabbiani F, Josic K (2014) Near-optimal decoding of transient stimuli from coupled neuronal subpopulations. J Neurosci 34:12206-22 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Axon; Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Fly vertical system tangential cell;
Channel(s):
Gap Junctions: Gap junctions;
Receptor(s): Nicotinic; GabaA;
Gene(s):
Transmitter(s): Acetylcholine; Gaba;
Simulation Environment: Python;
Model Concept(s): Activity Patterns; Spatio-temporal Activity Patterns; Simplified Models; Invertebrate; Connectivity matrix;
Implementer(s): Gabbiani, F; Trousdale, James [jamest212 at gmail.com];
Search NeuronDB for information about:  Nicotinic; GabaA; Acetylcholine; Gaba;
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Function:     repmat_3d

Arguments:    input_mat - a two-dimensional, NxM array
              reps - number of times to duplicate mat along the 3rd axis
           
Output:       A three-dimensional, size (N,M,reps) array for which each matrix output[:,:,i] is a copy of the matrix
              mat.
           
Description: Similar to MATLAB's repmat function, but specialized to simply take an NxM matrix

Authors:     James Trousdale - jamest212@gmail.com
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