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This is a tutorial source code of the manuscript: "Digital computing through randomness and order in neural networks" Alexandre Pitti , Claudio Weidmann, and Mathias Quoy for the journal PNAS

This repo provides the necessary source code to simulate itinerant dynamics, that is, dynamics that randomly switch between attractor patterns, using a RNN implementation based on predictive coding.

Predictive coding algorithm for memory retrieval in RNNs. Based on a target sequence, we can infer the latent discrete representation (or class) that best predicts it.

A model using SOMs and active inference to learn a repertoire of simple motor trajectories

Example of learning, prediction and inference using a model of RNN based on predictive coding.

Example implementation of a two-layered network with predictive coding-based inference and learning.

A benchmark of online learning algorithms for RNNs in a continual learning setting. The models are evaluated on the task of incrementally learning a repertoire of 20 continuous sequences.

Introduction au langage Python3, à destination des doctorants et personnels de l'université.

This kit is for developing drone application with promethe NN simulator.

Regroupement de recettes singularity par le groupe MesoTech.

transfer in progress...