Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mattia Silvestri"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Cognitive maps in the hippocampal-entorhinal system are central for the representation of both spatial and non-spatial relationships. Although this system, especially in humans, heavily relies on vision, the role of visual experience in shap
Externí odkaz:
https://doaj.org/article/5be7570a5d544229a76bf2f1c2b92fa9
Publikováno v:
bioRxiv
Spatial navigation in humans relies heavily on vision. However, the impact of early blindness on the brain navigation network and on the hippocampal-entorhinal system supporting cognitive maps, in particular, remains elusive. Here, we tested sighted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197c4071c9ba0c92bac2b380647e3127
https://hdl.handle.net/21.11116/0000-000D-2F30-921.11116/0000-000D-2F32-7
https://hdl.handle.net/21.11116/0000-000D-2F30-921.11116/0000-000D-2F32-7
Autor:
Mattia Silvestri, Michele Lombardi, Emiliano Mucchi, Luca Cadei, Giovanna Magnago, Marco Piantanida, Valentina D’Ottavio, Nguyen Van Tu, Simona Duma, Silvia Taddei, Annagiulia Tiozzo, Andrea Corneo, Lorenzo Lancia, Laura Rocchi, Pietro Coffari di Gilferraro
In recent years, pervasive digitalization has affected the industrial world, including the oil and gas sector. With more and more data becoming available, Machine Learning algorithms have become a promising tool to improve Predictive Maintenance oper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::489fa4645882fcd945591880c7cd91e6
https://doi.org/10.3233/faia220069
https://doi.org/10.3233/faia220069
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783031080104
Home Integration of Constraint Programming, Artificial Intelligence, and Operations Research Conference paper Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning Download book PDF Download book EPUB Hybrid Offline/Onli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f5de66f8de69edca1d804a71695dc5
https://hdl.handle.net/11585/895900
https://hdl.handle.net/11585/895900
Publikováno v:
Integration of Constraint Programming, Artificial Intelligence, and Operations Research ISBN: 9783030782290
CPAIOR
CPAIOR
Recent research has shown how Deep Neural Networks trained on historical solution pools can tackle CSPs to some degree, with potential applications in problems with implicit soft and hard constraints. In this paper, we consider a setup where one has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::586e4f77f77501b1d4e864c1e9d7ed24