Latent Predictive Learning: SNN Implementation

This implementation of Latent Predictive Learning (LPL) is based on this paper by Halvagal and Zenke.

Installation

You can install with:

pip install -e .

Run files with this pattern:

python -m datasets.src.zenke_2a.visualize

Directory structure

The structure is as follows:

• /datasets: contains various data generation and pytorch Dataset implementations. The simplest is fig 2A from the above paper
• /model: contains the model code for a SNN with LPL learning rule
• /benchmarks: entrypoints for applying various datasets to the model