Zobrazeno 1 - 10
of 5 388
pro vyhledávání: '"attractor network"'
Autor:
D'Amico, Francesco, Negri, Matteo
Transformers are one of the most successful architectures of modern neural networks. At their core there is the so-called attention mechanism, which recently interested the physics community as it can be written as the derivative of an energy functio
Externí odkaz:
http://arxiv.org/abs/2409.16112
Akademický článek
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Publikováno v:
Journal of Harbin Institute of Technology (New Series), vol. 28, no. 3, pp. 90-96, 2021
Deep Attractor Network (DANet) is the state-of-the-art technique in speech separation field, which uses Bidirectional Long Short-Term Memory (BLSTM), but the complexity of the DANet model is very high. In this paper, a simplified and powerful DANet m
Externí odkaz:
http://arxiv.org/abs/2308.03332
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Resistive memory devices feature drastic conductance change and fast switching dynamics. Particularly, nonvolatile bipolar switching events (set and reset) can be regarded as a unique nonlinear activation function characteristic of a hystere
Externí odkaz:
https://doaj.org/article/22f817db99c4455d803ffe167bc5cc7d
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 Dec 01. 118(49), 1-10.
Externí odkaz:
https://www.jstor.org/stable/27094174
Autor:
Boscaglia, Marta1,2 (AUTHOR) mb899@le.ac.uk, Gastaldi, Chiara3 (AUTHOR), Gerstner, Wulfram3 (AUTHOR), Quian Quiroga, Rodrigo1,4,5,6 (AUTHOR) mb899@le.ac.uk
Publikováno v:
PLoS Computational Biology. 12/20/2023, Vol. 19 Issue 12, p1-32. 32p.
Autor:
Wojtak W; Research Centre of Mathematics, University of Minho, Guimarães, Portugal.; Research Centre Algoritmi, University of Minho, Guimarães, Portugal., Coombes S; Centre for Mathematical Medicine and Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK., Avitabile D; Department of Mathematics, Vrije Universiteit, Amsterdam, The Netherlands.; MathNeuro Team, Inria Sophia Antipolis Méditerranée Research Centre, Sophia Antipolis, France., Bicho E; Research Centre Algoritmi, University of Minho, Guimarães, Portugal., Erlhagen W; Research Centre of Mathematics, University of Minho, Guimarães, Portugal.
Publikováno v:
Cognitive neurodynamics [Cogn Neurodyn] 2024 Dec; Vol. 18 (6), pp. 3273-3289. Date of Electronic Publication: 2023 May 29.
Publikováno v:
In iScience 21 April 2023 26(4)
A bump attractor network is a model that implements a competitive neuronal process emerging from a spike pattern related to an input source. Since the bump network could behave in many ways, this paper explores some critical limits of the parameter s
Externí odkaz:
http://arxiv.org/abs/2003.13365
Autor:
Chen, Hangting, Zhang, Pengyuan
Deep attractor networks (DANs) perform speech separation with discriminative embeddings and speaker attractors. Compared with methods based on the permutation invariant training (PIT), DANs define a deep embedding space and deliver a more elaborate r
Externí odkaz:
http://arxiv.org/abs/2007.00272