brainevent 0.0.1.post20250422

Event-driven Computation in JAX for Brain Dynamics.

Enabling Event-driven Computation in Brain Dynamics

Brain is characterized by the discrete spiking events, which are the fundamental units of computation in the brain.

BrainEvent provides a set of data structures and algorithms for such event-driven computation, which can be used to model the brain dynamics in a more efficient and biologically plausible way.

Particularly, it provides the following class to represent binary events in the brain:

• EventArray: representing array with a vector/matrix of events.

Furthermore, it implements the following commonly used data structures for event-driven computation of the above class:

• COO: a sparse matrix in COO format for sparse and event-driven computation.
• CSR: a sparse matrix in CSR format for sparse and event-driven computation.
• CSC: a sparse matrix in CSC format for sparse and event-driven computation.
• BlockCSR: a block sparse matrix in CSR format for sparse and event-driven computation.
• BlockELL: a block sparse matrix in ELL format for sparse and event-driven computation.
• JITC_CSR: a just-in-time connectivity sparse matrix in CSR format for sparse and event-driven computation.
• JITC_CSC: a just-in-time connectivity sparse matrix in CSC format for sparse and event-driven computation.
• FixedPreNumConn: a fixed number of pre-synaptic connections for sparse and event-driven computation.
• FixedPostNumConn: a fixed number of post-synaptic connections for sparse and event-driven computation.
• ...

BrainEvent is fully compatible with physical units and unit-aware computations provided in BrainUnit.

Installation

You can install brainevent via pip:

pip install brainevent --upgrade

Documentation

The official documentation is hosted on Read the Docs: https://brainevent.readthedocs.io/

See also the brain modeling ecosystem

We are building the Brain Modeling ecosystem: https://brainmodeling.readthedocs.io/