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pro vyhledávání: '"Marullo, Chiara"'
Hebbian learning theory is rooted in Pavlov's Classical Conditioning. In addition, while mathematical models of the former have been proposed and studied in the past decades, especially in spin glass theory, only recently it has been numerically show
Externí odkaz:
http://arxiv.org/abs/2405.03823
Publikováno v:
Entropy 2023, 25(2), 216
The aim of the present paper is to provide a preliminary investigation of the thermodynamics of particles obeying monotone statistics. To render the potential physical applications realistic, we propose a modified scheme called block-monotone, based
Externí odkaz:
http://arxiv.org/abs/2301.11016
As well known, Hebb's learning traces its origin in Pavlov's Classical Conditioning, however, while the former has been extensively modelled in the past decades (e.g., by Hopfield model and countless variations on theme), as for the latter modelling
Externí odkaz:
http://arxiv.org/abs/2207.00790
Dense associative memories (DAM), are widespread models in artificial intelligence used for pattern recognition tasks; computationally, they have been proven to be robust against adversarial input and theoretically, leveraging their analogy with spin
Externí odkaz:
http://arxiv.org/abs/2203.14273
Publikováno v:
Journal of Mathematical Physics 61, 123301 (2020)
In this work we introduce and investigate the properties of the "relativistic" Hopfield model endowed with temporally correlated patterns. First, we review the "relativistic" Hopfield model and we briefly describe the experimental evidence underlying
Externí odkaz:
http://arxiv.org/abs/2103.06259
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Publikováno v:
In Applied Mathematics and Computation 15 February 2022 415
Publikováno v:
Neural Computation. 35:930-957
Hebb's learning traces its origin in Pavlov's classical conditioning; however, while the former has been extensively modeled in the past decades (e.g., by the Hopfield model and countless variations on theme), as for the latter, modeling has remained
Autor:
Pisciottani, Alessandra, Croci, Laura, Lauria, Fabio, Marullo, Chiara, Savino, Elisa, Ambrosi, Alessandro, Podini, Paola, Marchioretto, Marta, Casoni, Filippo, Cremona, Ottavio, Taverna, Stefano, Quattrini, Angelo, Cioni, Jean-Michel, Viero, Gabriella, Codazzi, Franca, Consalez, G. Giacomo
Publikováno v:
Frontiers in Cellular Neuroscience; 2023, p1-18, 18p
Publikováno v:
Journal of Mathematical Physics; Oct2022, Vol. 63 Issue 10, p1-27, 27p