Simulation and Neural network Analysis Productivity layer
Project description
BlueBrain SNAP is a Python library for accessing BlueBrain circuit models represented in SONATA format.
The main interface class exposed is Circuit, which corresponds to the static structure of a neural network, i.e.:
- node positions / properties
- edge positions / properties
- detailed morphologies
Most of SNAP methods return pandas Series or DataFrames, indexed in a way to facilitate combining data from different sources (i.e. by node or edge IDs).
Among other dependencies, SNAP relies on BBP-provided libraries:
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