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DTSTART;TZID=Europe/Paris:20240919T140000
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DTSTAMP:20260413T134110
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UID:10974-1726754400-1726761600@fermi.univ-tlse3.fr
SUMMARY:Brain-like Computation with Percolating Networks of Nanoparticles. - (Simon Brown / LPCNO / Seminar). - 19/09/2024
DESCRIPTION:Séminaire LPCNO  \nSimon Brown\, University of Canterbury\, Christchurch\, NZ \nSSeminar room\, INSA\, Build. 27\, Room 2.20 (2nd floor left) \nAbstract \nSelf-assembled networks of nanoparticles have recently emerged as important candidate systems for brain-like (or neuromorphic) information processing.[1] The essence of the approach is to take advantage of the intrinsic dynamical properties of these networks to implement brain-inspired approaches to computation.[2] \nOur percolating networks of nanoparticles (PNNs\, Fig 1(a)) are self-assembled via simple deposition processes that are completely CMOS compatible\, making them attractive for integration.[3] The tunnel gaps between particles (Fig 1(b)) turn out to have neuron-like properties\, which means that PNNs can be viewed as networks of neurons.[4] Neuron-like electrical spikes are generated when \nWe have explored brain-like computation with PNNs in two regimes\, beginning with simulations[5\,6\,7] that allow us to understand the processes and refine parameters\, and then moving to experimental demonstrations[8]. At low voltages\, the devices are amenable to reservoir computation and we have successfully demonstrated time series prediction\, non-linear transformation and spoken digit recognition.[5\,8] In the high voltage regime\, the spiking behaviour of the ‘neurons’ has been exploited to perform Boolean logic and MNIST classification[6]\, and\, most recently\, optimization tasks including specifically integer factorisation[7] \n[1] J. B. Mallinson et al\, Science Advances 5\, eaaw8438 (2019).\n[2] S. Shirai et al\, Network Neuroscience 4\, 432 (2020).\n[3] A. Sattar et al\, Phys. Rev. Lett. 111\, 136808 (2013).\n[4] R. K. Daniels\, et al Neural Networks 154\, 122 (2022)\, Phys. Rev. Applied 20\, 034021 (2023).\n[5] J. B. Mallinson et al\, Nanoscale 15\, 9663 (2023).\n[6] S. J. Studholme et al\, Nano. Lett. 23\, 10594 (2023).\n[7] S. J. Studholme et al\, in press\, ACS Nano (2024).\n[8] J. B. Mallinson et al\, Advanced Materials (2024); adma.202402319
URL:https://fermi.univ-tlse3.fr/event/brain-like-computation-with-percolating-networks-of-nanoparticles-simon-brown-lpcno-seminar-19-09-2024/
LOCATION:Salle 220\, LPCNO\, INSA – LPCNO : 135 avenue de Rangueil\, toulouse\, 31077\, France
CATEGORIES:Events,LPCNO,Seminars
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