Organized into different parts:
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./cells/ The list of cells available. See ./cells/README.md
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./build/ Build the network elements and architecture (equations, connectivity, ...)
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./stim/ Stimulate the network with afferent activity.
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./recording/ The recording module. See ./recording/README.md
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./scan/ Perform parameter scans
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./analysis/ Tools to analyze network simulations
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./plots/ Plot network simulation results.
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./theory/. Implementation of the mean-field approach to network dynamics characterization. Based on the Markovian approach formulated in El Boustani & Destexhe, Neural Comp (2009)
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./transfer_functions/. The core of the mean-field approach. The function that accounts for the statistical "rate-behavior" of a population of neurons in the network. Procedure to make semi-analytical characterizations of transfer functions. See Zerlaut et al. (2017) JCNS
- ./configs/. Stores some cellular and configurations to be easily re-used.