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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
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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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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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A model using SOMs and active inference to learn a repertoire of simple motor trajectories
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Example of learning, prediction and inference using a model of RNN based on predictive coding.
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Example implementation of a twolayered network with predictive codingbased inference and learning.
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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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Introduction au langage Python3, à destination des doctorants et personnels de l'université.
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This kit is for developing drone application with promethe NN simulator.
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