Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Stefano, Brivio"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2024)
Investigations in the field of spiking neural networks (SNNs) encompass diverse, yet overlapping, scientific disciplines. Examples range from purely neuroscientific investigations, researches on computational aspects of neuroscience, or applicative-o
Externí odkaz:
https://doaj.org/article/270d073a3fd34eb7b99c0a253c27cec2
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Externí odkaz:
https://doaj.org/article/68bc2f0e959c4e778bab9f219070636e
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Spiking neural networks (SNNs) are a computational tool in which the information is coded into spikes, as in some parts of the brain, differently from conventional neural networks (NNs) that compute over real-numbers. Therefore, SNNs can implement in
Externí odkaz:
https://doaj.org/article/0dc34420ef59418d8faf9c670a01c42d
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract The development of devices that can modulate their conductance under the application of electrical stimuli constitutes a fundamental step towards the realization of synaptic connectivity in neural networks. Optimization of synaptic functiona
Externí odkaz:
https://doaj.org/article/1d5d6f4413e04217b7a43cd6966c0cba
Autor:
Tao Wang, Stefano Brivio, Elena Cianci, Claudia Wiemer, Michele Perego, Sabina Spiga, Mario Lanza
Publikováno v:
ACS Applied Materials & Interfaces. 14:24565-24574
Autor:
Manuel Escudero, Sabina Spiga, Mauro Di Marco, Mauro Forti, Giacomo Innocenti, Alberto Tesi, Fernando Corinto, Stefano Brivio
Publikováno v:
ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC).
Autor:
Tao, Wang, Stefano, Brivio, Elena, Cianci, Claudia, Wiemer, Michele, Perego, Sabina, Spiga, Mario, Lanza
Publikováno v:
ACS applied materialsinterfaces. 14(21)
Resistive switching (RS) devices with binary and analogue operation are expected to play a key role in the hardware implementation of artificial neural networks. However, state of the art RS devices based on binary oxides (e.g., HfO
Autor:
Erika Covi, Stefano Brivio, Alexantrou Serb, Themis Prodromakis, Marco Fanciulli, Sabina Spiga
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
Emerging brain-inspired architectures call for devices that can emulate the functionality of biological synapses in order to implement new efficient computational schemes able to solve ill-posed problems. Various devices and solutions are still under
Externí odkaz:
https://doaj.org/article/914fb284c10342bba6678b9504a6734a
Autor:
Hong-Yu Chen, Stefano Brivio, Che-Chia Chang, Jacopo Frascaroli, Tuo-Hung Hou, Boris Hudec, Ming Liu, Hangbing Lv, Gabriel Molas, Joon Sohn, Sabina Spiga, V. Mani Teja, Elisa Vianello, H.-S. Philip Wong
Publikováno v:
Electronic Materials: Science & Technology ISBN: 9783030424237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66bc546a31965a731cdd52a8ddbfac06
https://doi.org/10.1007/978-3-030-42424-4_3
https://doi.org/10.1007/978-3-030-42424-4_3
Autor:
Itir Koymen, Sweety Deswal, Asal Kiazadeh, Alexandra I. Berg, Anthony J. Kenyon, Carlo Ricciardi, Yang Li, Yuchao Yang, Daniele Ielmini, Daniel J. Mannion, Ella Gale, Themis Prodromakis, Ilia Valov, Simon Brown, Jonas Deuermeier, Stefano Brivio, Dirk J. Wouters, Maximilian Speckbacher, R. Stanley Williams, Sebastian Siegel, Hyunsang Hwang, Giacomo Indiveri, Geoffrey W. Burr, Michael N. Kozicki, Wei Wang
Publikováno v:
Berg, S, Brivio, S, Brown, S, Burr, G, Deswal, S, Deuermeier, J, Gale, E, Hwang, H, Ielmini, D, Indiveri, G, Kenyon, T, Kiazadeh, A, Köymen, I, Kozicki, M, Li, Y, Mannion, D, Prodromakis, T, Ricciardi, C, Siegel, S, Speckbacher, M, Valov, I, Wang, W, Williams, S, Wouters, D & Yang, Y 2019, ' Synaptic and neuromorphic functions: general discussion ', Faraday Discussions, vol. 213, pp. 553-578 . https://doi.org/10.1039/C8FD90065E