Mattia Della Vecchia
Biologically plausible learning algorithms for recurrent neural networks.
Rel. Andrea Pagnani, Vincent Hakim. Politecnico di Torino, Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi), 2021
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Abstract
The very first works that gave light to the field of Artificial Intelligence were heavily influenced by the study of the brain, and carried out by collaborative efforts of computer- and neuro-scientists. Progressively, the models and methods proposed have distanced themselves from this approach, towards ones more oriented to informatics. In the last years, a resurgence of interest in works that bridge the two fields has taken action, thanks also to development of tools that allows to investigate the brain with a extraordinary level of detail. Biological mechanisms act as a natural source of inspiration for innovative techniques applicable to artificial networks.
The project of this internship positions itself in this trend
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