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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. ***************************** 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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