Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Joshua B. Mallinson"'
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 3, p 034011 (2024)
Percolating networks of nanoparticles (PNNs) are self-assembled nanoscale systems that possess brain-like characteristics that are useful for information processing, particularly within a reservoir computing (RC) framework. Previous work has successf
Externí odkaz:
https://doaj.org/article/59b3786eddfc4e14862bb4c8cc5b05eb
Autor:
Saurabh K. Bose, Joshua B. Mallinson, Edoardo Galli, Susant K. Acharya, Chloé Minnai, Philip J. Bones, Simon A. Brown
Publikováno v:
Nanoscale horizons. 7(4)
Physical systems that exhibit brain-like behaviour are currently under intense investigation as platforms for neuromorphic computing. We show that discontinuous metal films, comprising irregular flat islands on a substrate and formed using simple eva
Autor:
Simon Brown, Ford Wagner, Matthew D. Arnold, Philip J. Bones, Zachary E. Heywood, Joshua B. Mallinson, Edoardo Galli, S. K. Bose, Susant Kumar Acharya
Publikováno v:
ACS applied materialsinterfaces. 13(44)
There is currently a great deal of interest in the use of nanoscale devices to emulate the behaviors of neurons and synapses and to facilitate brain-inspired computation. Here, it is shown that percolating networks of nanoparticles exhibit stochastic
Autor:
Stephen J. Weddell, Simon Brown, S. K. Bose, Philip J. Bones, Matthew D. Pike, S. Shirai, Edoardo Galli, Matthew D. Arnold, Joshua B. Mallinson, Susant Kumar Acharya
Self-assembled networks of nanoparticles and nanowires have recently emerged as promising systems for brain-like computation. Here, we focus on percolating networks of nanoparticles which exhibit brain-like dynamics. We use a combination of experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ea2dc30dc1b9b710c935b80f5ef6d67
https://hdl.handle.net/10453/140612
https://hdl.handle.net/10453/140612
Publikováno v:
IEEE Transactions on Electron Devices. 64:5194-5201
Nature inspired neuromorphic architectures are being explored as an alternative to imminent limitations of conventional complementary metal-oxide semiconductor (CMOS) architectures. Utilization of such architectures for practical applications like ad
Publikováno v:
Science Advances
Electrical signals in networks of nanoparticles emulate correlated avalanches of signals and criticality in the brain.
Current efforts to achieve neuromorphic computation are focused on highly organized architectures, such as integrated circuits
Current efforts to achieve neuromorphic computation are focused on highly organized architectures, such as integrated circuits
Autor:
Matthew D. Pike, S. K. Bose, Edoardo Galli, Joshua B. Mallinson, Matthew D. Arnold, Susant Kumar Acharya, S. Shirai, Simon Brown
Publikováno v:
Network Neuroscience, Vol 4, Iss 2, Pp 432-447 (2020)
Network Neuroscience
Network Neuroscience
Biological neuronal networks are the computing engines of the mammalian brain. These networks exhibit structural characteristics such as hierarchical architectures, small-world attributes, and scale-free topologies, providing the basis for the emerge
Publikováno v:
Faraday discussions. 213
We report a detailed study of neuromorphic switching behaviour in inherently complex percolating networks of self-assembled metal nanoparticles. We show that variation of the strength and duration of the electric field applied to this network of syna