bluepysnap 0.0.0

Simulation and Neural network Analysis Productivity layer

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:

• libsonata, for accessing SONATA files
• NeuroM, for accessing detailed morphologies