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Promethe Neural Networks Simulator

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.

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

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

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

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.

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.

Acquire and produce sound on ubuntu with alsa sound library

Basic Libraries for C