Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Paolucci, Pier Stanislao"'
Autor:
Pastorelli, Elena, Yegenoglu, Alper, Kolodziej, Nicole, Wybo, Willem, Simula, Francesco, Diaz, Sandra, Storm, Johan Frederik, Paolucci, Pier Stanislao
Mounting experimental evidence suggests that brain-state-specific neural mechanisms, supported by connectomic architectures, play a crucial role in integrating past and contextual knowledge with the current, incoming flow of evidence (e.g., from sens
Externí odkaz:
http://arxiv.org/abs/2311.06074
Autor:
Ammendola, Roberto, Biagioni, Andrea, Chiarini, Carlotta, Ciardiello, Andrea, Cretaro, Paolo, Frezza, Ottorino, Cicero, Francesca Lo, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Rossi, Cristian, Simula, Francesco, Turisini, Matteo, Vicini, Piero
APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device drivers up to the high level programming model. The framework is designed
Externí odkaz:
http://arxiv.org/abs/2307.01009
Autor:
Golosio, Bruno, Villamar, Jose, Tiddia, Gianmarco, Pastorelli, Elena, Stapmanns, Jonas, Fanti, Viviana, Paolucci, Pier Stanislao, Morrison, Abigail, Senk, Johanna
Publikováno v:
Appl. Sci. 2023, 13(17), 9598
Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also how long it takes to instantiate the network model in computer memory. O
Externí odkaz:
http://arxiv.org/abs/2306.09855
Autor:
Capone, Cristiano1,2 cristiano0capone@gmail.com, Paolucci, Pier Stanislao1
Publikováno v:
Scientific Reports. 9/3/2024, Vol. 14 Issue 1, p1-9. 9p.
Autor:
Gutzen, Robin, De Bonis, Giulia, De Luca, Chiara, Pastorelli, Elena, Capone, Cristiano, Mascaro, Anna Letizia Allegra, Resta, Francesco, Manasanch, Arnau, Pavone, Francesco Saverio, Sanchez-Vives, Maria V., Mattia, Maurizio, Grün, Sonja, Paolucci, Pier Stanislao, Denker, Michael
Neuroscience is moving towards a more integrative discipline, where understanding brain function requires consolidating the accumulated evidence seen across experiments, species, and measurement techniques. A remaining challenge on that path is integ
Externí odkaz:
http://arxiv.org/abs/2211.08527
Autor:
De Luca, Chiara, Tonielli, Leonardo, Pastorelli, Elena, Capone, Cristiano, Simula, Francesco, Lupo, Cosimo, Bernava, Irene, De Bonis, Giulia, Tiddia, Gianmarco, Golosio, Bruno, Paolucci, Pier Stanislao
Sleep is essential for learning and cognition, but the mechanisms by which it stabilizes learning, supports creativity, and manages the energy consumption of networks engaged in post-sleep task have not been yet modelled. During sleep, the brain cycl
Externí odkaz:
http://arxiv.org/abs/2211.06889
The brain can efficiently learn a wide range of tasks, motivating the search for biologically inspired learning rules for improving current artificial intelligence technology. Most biological models are composed of point neurons, and cannot achieve t
Externí odkaz:
http://arxiv.org/abs/2211.02553
Humans and animals can learn new skills after practicing for a few hours, while current reinforcement learning algorithms require a large amount of data to achieve good performances. Recent model-based approaches show promising results by reducing th
Externí odkaz:
http://arxiv.org/abs/2205.10044
Autor:
Gomez, Maria Engracia, Sahuquillo, Julio, Biagioni, Andrea, Chrysos, Nikos, Berton, Damien, Frezza, Ottorino, Lo Cicero, Francesca, Lonardo, Alessandro, Martinelli, Michele, Paolucci, Pier Stanislao, Pastorelli, Elena, Simula, Francesco, Turisini, Matteo, Vicini, Piero, Ammendola, Roberto, Chiarini, Carlotta, De Luca, Chiara, Capuani, Fabrizio, Castelló, Adrián, Duro, Jose, Stabile, Eugenio, Quintana, Enrique, Bernier-Bruna, Pascale, Chen, Claire, Lagadec, Pierre-Axel, Pichon, Gregoire, Walter, Etienne, Katevenis, Manolis, Bartzis, Sokratis, Mousouros, Orestis, Xirouchakis, Pantelis, Mageiropoulos, Vangelis, Gianioudis, Michalis, Loukas, Harisis, Ioannou, Aggelos, Kallimanis, Nikos, de la Rosa, Miguel Sanchez, Gomez-Lopez, Gabriel, Alfaro-Cortés, Francisco, Sahuquillo, Jesus Escudero, Garcia, Pedro Javier, Quiles, Francisco J., Sanchez, Jose L., De Gassowski, Gaetan, Hautreaux, Matthieu, Mathieu, Stephane, Moreau, Gilles, Perache, Marc, Taboada, Hugo, Hoefler, Torsten, Schneider, Timo, Barnaba, Matteo, Brandino, Giuseppe Piero, De Giorgi, Francesco, Poggi, Matteo, Mavroidis, Iakovos, Papaefstathiou, Yannis, Tampouratzis, Nikolaos, Kalisch, Benjamin, Krackhardt, Ulrich, Nuessle, Mondrian, Frings, Wolfang, Gottwald, Dominik, Guimaraes, Felime, Holicki, Max, Marx, Volker, Muller, Yannik, Clauss, Carsten, Falter, Hugo, Huang, Xu, Barillao, Jennifer Lopez, Moschny, Thomas, Pickartz, Simon
Publikováno v:
In Microprocessors and Microsystems October 2024 110
The brain can learn to solve a wide range of tasks with high temporal and energetic efficiency. However, most biological models are composed of simple single compartment neurons and cannot achieve the state-of-art performances of artificial intellige
Externí odkaz:
http://arxiv.org/abs/2201.11717