thebuckleylab/jpc
Flexible Inference for Predictive Coding Networks in JAX.
This library helps neuroscientists and computational modelers build and train neural networks using Predictive Coding (PC) principles. You provide a neural network model, and it outputs the trained network capable of various tasks like classification or generation. This is designed for researchers who work with advanced neural network architectures and brain-inspired computing.
Use this if you are a computational neuroscientist or machine learning researcher interested in implementing and experimenting with Predictive Coding Networks (PCNs) for your models.
Not ideal if you are looking for a plug-and-play machine learning library for general-purpose tasks without specific interest in biologically plausible learning algorithms or JAX.
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76
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 09, 2026
Commits (30d)
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