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Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning
Author(s) -
Bruno B. Averbeck
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2121331119
Subject(s) - reinforcement learning , working memory , reinforcement , task (project management) , prefrontal cortex , flexibility (engineering) , computer science , artificial neural network , pruning , artificial intelligence , machine learning , cognitive psychology , neuroscience , psychology , cognition , biology , statistics , mathematics , management , agronomy , economics , social psychology

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