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

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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.
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;
Gap Junctions: Gap junctions;
Receptor(s): Nicotinic; GabaA;
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];
Search NeuronDB for information about:  Nicotinic; GabaA; Acetylcholine; Gaba;
Function:     get_submatrix_invs_dets_mp

Arguments:    conn - The child connection through which to send the output of the function.
              mat - A four-dimensional, size (N,M,P,P) array.
              inds - A list of unique (integer) indices lying in the interval in [0,P).
Output:       mat_out - A four-dimensional, size (N,M,L,L) array, where L = len(inds). The matrix mat_out[i,j,:,:] is
                        the inverse of the submatrix of mat[i,j,:,:] acquired by extracting the rows and columns
                        corresponding to the indices inds. For example, inds = [0,1] would yield the inverses of the
                        upper left 2x2 submatrices.
              mat_dets - A two-dimensional, size (N,M) array, where the entry mat_dets[i,j] contains the determinant of
                         the submatrix of mat[i,j,:,:] acquired by extracting the rows and columns corresponding to the 
                         indices inds. For example, inds = [0,1] would yield the determinants of the upper left 2x2
Description:  Computes submatrix inverses and determinants. Meant to be called within a new Process generated by the
              Python multiprocessing module, to ensure that the matrix copies created when extracting the submatrix are
              garbage collected.

Authors:     James Trousdale -
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