Zobrazeno 1 - 10
of 5 821
pro vyhledávání: '"Marcelo, G."'
Understanding connections between artificial and biological intelligent systems can reveal fundamental principles of general intelligence. While many artificial intelligence models have a neuroscience counterpart, such connections are largely missing
Externí odkaz:
http://arxiv.org/abs/2405.14992
Autor:
Saramela, Thiago B., Silva, Tiago F., Bregant, Marco, Munhoz, Marcelo G., Quach, Tien T., Hague, Richard, Gilmore, Ian S., Roberts, Clive J., Trindade, Gustavo F.
Research on aging processes of Gas Electron Multipliers (GEMs) is important to obtain insights on how to increase the detector's longevity, stability, and performance, as highlighted in the latest developments roadmap by the European Council of Futur
Externí odkaz:
http://arxiv.org/abs/2406.12873
Replay is a powerful strategy to promote learning in artificial intelligence and the brain. However, the conditions to generate it and its functional advantages have not been fully recognized. In this study, we develop a modular reinforcement learnin
Externí odkaz:
http://arxiv.org/abs/2402.01467
While advances in artificial intelligence and neuroscience have enabled the emergence of neural networks capable of learning a wide variety of tasks, our understanding of the temporal dynamics of these networks remains limited. Here, we study the tem
Externí odkaz:
http://arxiv.org/abs/2311.05862
Autor:
Barreto, Leonardo, Canedo, Fabio M., Paulino, Maria M. M., Noronha-Hostler, Jacquelyn, Noronha, Jorge, Munhoz, Marcelo G.
The $R$-dependence of jet observables provides a new tool in understanding the interplay between the jet energy-loss mechanism and medium response in heavy-ion collisions. This work applies the Monte Carlo events generator JEWEL and PYTHIA, coupled w
Externí odkaz:
http://arxiv.org/abs/2310.11150