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]
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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; 
SIM_VS_NET README FILE
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Implements the model of the VS network used in the following article: 

Near optimal decoding of transient stimuli from coupled neuronal subpopulations

by James Trousdale, Sam Carroll, Fabrizio Gabbiani, and Kresimir Josic.

J. Neurosci. 34:12206-12222.

The code is written in Python (www.python.org) and was tested with
python 2.7. In addition to python, it requires the matplotlib, numpy
and scipy packages (available on the web at matplotlib.org, numpy.org
and scipy.org). Rotation of the images and generation of corresponding
mpeg movies require ffmpeg (www.ffmpeg.org).  


For a detailed description of the directory content, please read fly_code_note.pdf