A library for spiking neural networks in JAX.
Project description
SNNAX
SNNAX is a lightweight library for implementing Spiking Neural Networks (SNN) is JAX. It leverages the excellent and intuitive [Equinox Library](https://docs.kidger.site/equinox/). The core of SNNAX is a module that stacks layers of pre-defined or custom defined SNNs and Equinox neural network modules, and providing the functions to call them in a single scan loop. This mode of operation enables feedback loops across the layers of SNNs, while leveraging GPU acceleration as much as possible
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Note
This project has been set up using PyScaffold 4.3.1. For details and usage information on PyScaffold see https://pyscaffold.org/.
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