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Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)

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This is the readme for the Brian code associated with the paper:

Peter beim Graben and Serafim Rodrigues

A Biophysical observation model for field potentials of networks of
leaky-integrate-and-fire neurons.
Front. Comput. Neurosci, 04 January 2013
doi: 10.3389/fncom.2012.00100

*******************************
This python code, Gunft6.py, requires and runs under the Brian
simulator.

Note for developers:

Note 1 : As it stands, the code is not effiecient (fast) as it does
not use the facilties vector processing and uses a lot of for-loops
which is not efficient. So it can be improved.
Note 2: Periodic thalamic input is not yet implemented.

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1) This is a network of 5000 neurons, 80% of which excitatory, and 20%
   inhibitory.
2) The network is randomy connected (between pairs) with connection
   probability = 0.2.
3) Both Excitatory and Inhibitory neurons are described via LIF model.
4) The currents are double exponetial, but the excitatory currents can
   recieve external noise.

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Biophysical model for field potentials of networks of I&F neurons (beim Graben & Serafim 2013)

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