Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gabriele Di Antonio"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract A general mathematical description of how the brain sequentially encodes knowledge remains elusive. We propose a linear solution for serial learning tasks, based on the concept of mixed selectivity in high-dimensional neural state spaces. In
Externí odkaz:
https://doaj.org/article/d010b44cf6bf4485becf76f65988ec78
Publikováno v:
New Journal of Physics, Vol 25, Iss 12, p 123042 (2023)
Taking informed decisions, namely acting rationally, is an individual attitude of paramount relevance in nature and human societies. In this work, we study how rationality spreads in a community. To this end, through an agent-based model, we analyse
Externí odkaz:
https://doaj.org/article/8a4d3a4601664b1cad1dc7f6c87dc680
Autor:
Marco Alberto Javarone, Gabriele Di Antonio, Gianni Valerio Vinci, Raffaele Cristodaro, Claudio J Tessone, Luciano Pietronero
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 4, p 045002 (2023)
The behaviour of Bitcoin owners is reflected in the structure and the number of bitcoin transactions encoded in the Blockchain. Likewise, the behaviour of Bitcoin traders is reflected in the formation of bullish and bearish trends in the crypto marke
Externí odkaz:
https://doaj.org/article/8dbcd3545bfb49eca4cda63cc49f3349
Autor:
Marco Alberto Javarone, Gabriele Di Antonio, Gianni Valerio Vinci, Luciano Pietronero, Carlo Gola
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 478
The energy sustainability of blockchains, whose consensus protocol rests on the Proof-of-Work, nourishes a heated debate. The underlying issue lies in a highly energy-consuming process, defined as mining, required to validate crypto-asset transaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccd0ac385505b6d3bc38a42b727c3c82
https://doi.org/10.1098/rspa.2022.0642
https://doi.org/10.1098/rspa.2022.0642