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The code and dataset of article "Modularity without memory: what builds modularrecurrent networks does not protect what they learn".
Modularity is a defining property of brain networks, widely held to explain howbiological systems learn without forgetting. Artificial networks trained on cognitivetasks develop modular recurrent weights, most of all when connections are addedprogressively; this has been read as evidenc
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