Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Neves, Fábio"'
Spiking neural network models characterize the emergent collective dynamics of circuits of biological neurons and help engineer neuro-inspired solutions across fields. Most dynamical systems' models of spiking neural networks typically exhibit one of
Externí odkaz:
http://arxiv.org/abs/2304.00112
Autor:
Neves, Fabio Schittler, Timme, Marc
How spiking neuronal networks encode memories in their different time and spatial scales constitute a fundamental topic in neuroscience and neuro-inspired engineering. Much attention has been paid to large networks and long-term memory, for example i
Externí odkaz:
http://arxiv.org/abs/2303.12225
Publikováno v:
International Journal of Quality & Reliability Management, 2023, Vol. 41, Issue 5, pp. 1377-1399.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJQRM-06-2023-0198
Publikováno v:
In Environmental Development September 2024 51
Autor:
de Oliveira Neves, Fábio, da Silva Bezerra, Aline, Salgado, Eduardo Gomes, Santos, Breno Régis, Roveda, Sandra Regina Monteiro Masaslkiene
Publikováno v:
In Energy for Sustainable Development August 2024 81
Autor:
de Oliveira Neves, Fábio, Salgado, Eduardo Gomes, de Figueiredo, Eduardo Costa, Sampaio, Paulo, Marafão, Fernando Pinhabel
Publikováno v:
In Science of the Total Environment 1 November 2024 949
Publikováno v:
Chaos 31, 093130 (2021)
Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in high-dimensional state-spaces, inspiring alternative paradigms of information processing. Heteroclinic networks, naturally emerging in a
Externí odkaz:
http://arxiv.org/abs/2110.12221
Autor:
Neves, Fabio Schittler, Timme, Marc
Publikováno v:
IEEE Access, vol. 8, pp. 179648-179655, 2020
The computation of rank ordering plays a fundamental role in cognitive tasks and offers a basic building block for computing arbitrary digital functions. Spiking neural networks have been demonstrated to be capable of identifying the largest k out of
Externí odkaz:
http://arxiv.org/abs/2012.00434
Autor:
Neves, Fabio Schittler, Timme, Marc
Publikováno v:
J. Phys. A 42, 345103 (2009)
Pulse-coupled systems such as spiking neural networks exhibit nontrivial invariant sets in the form of attracting yet unstable saddle periodic orbits where units are synchronized into groups. Heteroclinic connections between such orbits may in princi
Externí odkaz:
http://arxiv.org/abs/2011.00888
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