Yet another commentary (and rant) on why following the original #neuromorphic approach, using *also* #analog circuits to emulate the physics of cortical circuits, can be fascinating: https://www.pnas.org/doi/10.1073/pnas.2525734122
Giacomo Indiveri :emacs:🧠
@giacomoi.fediscience.org.ap.brid.gy
Professor of Neuromorphic Cognitive Systems at the University of Zurich and ETH Zurich, and director of the Institute of Neuroinformatics ( […] [bridged from https://fediscience.org/@giacomoi on the fediverse by https://fed.brid.gy/ ]
#Spiking #neural #networks (#SNN) running on continuous-time, noisy, and highly variable computing substrates can learn reliably with #ReinforcementLearning ... Not only in real brains, but also in mixed-signal #neuromorphic hardware! 😇 Neuromorphic dreaming […] [Original post on fediscience.org]
What is this "neuromorphic" hype all about? Here's my (neuro)view on it: https://www.cell.com/neuron/fulltext/S0896-6273(25)00708-1
I'm extremely proud of the work of Maryada, Saray Soldado-Magraner and colleagues, in collaboration with Dean Buonomano, which shows how their cross-homeostatic #plasticity model enables analog #neuromorphic #circuits to produce stable recurrent dynamics on […] [Original post on fediscience.org]
One more step toward EEG based epileptic seizure detection using #neuromorphic #spiking neural network chips! rdcu.be/ek2SC Jim Bartels, Olympia Gallou, Hiroyuki Ito, Matthew Cook, Johannes Sarnthein, Giacomo Indiveri & Saptarshi Ghosh
I am really proud to announce that our latest effort on showing the advantages of our analog/digital #neuromorphic spiking neural network chips in solving complex biomedical applications has just been published here: https://rdcu.be/ef5N0 The demonstrates that *small* *highly variable* and *low […]
Original post on fediscience.org
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After >6 months of struggles, thanks to the holidays and to #emacs incredible time management options, I managed to reach this achievement again: #zeroinbox !!! 😅 #emacs, #org, #mu4e
Great start of the new year! A new manuscript just published showing yet again how design principles and strategies from biological perceptive systems enable robust processing on analog #neuromorphic electronic systems, despite their variability! https://rdcu.be/d5o0d
Proud to have managed to finish a #neuromorphic manuscript, with Chiara De Luca, Mirco Tincani and Elisa Donati just before the end of the year! It demonstrates the benefits of using #braininspired principles of computation for achieving robust computation across multiple time-scales, despite […]
Original post on fediscience.org
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Cross-posting this for the new colleagues and friends on BlueSky that recently decided to ditch X :) Anybody interested in #neuromorphic, should really read Carver Mead's acceptance speech for the "2023 Misha Mahowald Recognition of Lifetime Contribution to […] [Original post on fediscience.org]
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