Spontaneous weakly correlated excitation and inhibition (Tan et al. 2013)

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Accession:150440
Brian code for Tan et al. 2013.
Reference:
1 . Tan AY, Andoni S, Priebe NJ (2013) A spontaneous state of weakly correlated synaptic excitation and inhibition in visual cortex. Neuroscience 247:364-75 [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):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Brian; Python;
Model Concept(s): Vision;
Implementer(s): Tan, Andrew [atyy at alum.mit.edu];
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TanAndoniPriebe2013
readme.txt
TanAndoniPriebe2013_BrianCode.py
                            
The Brian code for the paper:

Tan AY, Andoni S, Priebe NJ (2013) A spontaneous state of weakly
correlated synaptic excitation and inhibition in visual
cortex. Neuroscience 247:364-75

is supplied in this archive.  Brian is freely available from
http://briansimulator.org

After installing Brian run with a command like
python TanAndoniPriebe2013_BrianCode.py

Alternatively, the code can be easily run in Spyder, a user-friendly
interface for Python.

Spyder is freely available from http://code.google.com/p/spyderlib/

After installing Brian and Spyder run by opening the code in Spyder,
then press the F5 key.