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A model using SOMs and active inference to learn a repertoire of simple motor trajectories
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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.
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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.
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Example implementation of a two-layered network with predictive coding-based inference and learning.
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Example of learning, prediction and inference using a model of RNN based on predictive coding.
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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.
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Dans le cadre du projet Orchestrion (SAE – BUT3 GEII 2025/2026), dont l’objectif est de concevoir un instrument de musique en mobilisant les compétences acquises tout au long de notre formation, afin de disposer d’un démonstrateur pour la promotion de la filière lors des journées portes ouvertes et des salons, nous avons choisi de concevoir et de réaliser un clavier automatisé, capable de jouer de la musique selon trois modes de fonctionnement.
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