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 accuracy* #SNNs can indeed be useful, without having to resort to #backprop in large-scale #DNNs! 😉
2.4.2025 20:25I am really proud to announce that our latest effort on showing the advantages of our analog/digital #neuromorphic spiking neural network...After >6 months of struggles, thanks to the holidays and to #emacs incredible time management options, I managed to reach this achievement again: #zeroinbox !!! 😅
6.1.2025 15:29After >6 months of struggles, thanks to the holidays and to #emacs incredible time management options, I managed to reach this...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 the inherent variability of the underlying computational substrate (silicon neurons that emulate faithfully biological ones):
A neuromorphic multi-scale approach for heart rate and state detection
https://doi.org/10.21203/rs.3.rs-5737326/v1
#neuromorphic #wearable #neuroai #SpikingNeuralNetwork
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 #Neuromorphic Engineering" award
https://iopscience.iop.org/article/10.1088/2634-4386/ad8833
NCS group lab manual:
https://ncs-group.pages.uzh.ch/lab-manual/
Inspired by the great ALY LAB lab-manual (https://github.com/alylab/labmanual ) we created one for our NCS group https://www.ini.uzh.ch/en/research/groups/ncs.html
We are proud of it and made it publicly available in case others find the idea and some of the content useful for their own group.
10.10.2024 21:14NCS group lab manual:https://ncs-group.pages.uzh.ch/lab-manual/Inspired by the great ALY LAB lab-manual (https://github.com/alylab/labmanual...Just submitted a major #neuromorphic #intelligence grant proposal. Well 13 hours before the deadline!
🤞 🤞 🤞
From biological #neurons to silicon neurons! Matteo Cartiglia's amazing work just got published today. #Neuromorphic methods and circuits applied to multi-electrod-arryas #MEA
https://www.nature.com/articles/s41467-024-50783-2
Low power #neuromorphic processors for #edge computing require low-power #asynchronous circuits. Areally amazing work by Zhe Su and an amazing team of colleagues is finally out, after years of development!
"An Ultra-Low Cost and Multicast-Enabled Asynchronous NoC for Neuromorphic Edge Computing"
https://ieeexplore.ieee.org/document/10609786
In the newest issue of Nature Machine Intelligence, #neuromorphic research by the UZH Institute of Neuroinformatics appears in three different articles, as well as on its cover!
Check it out here:
https://www.nature.com/natmachintell/volumes/6/issues/6
@NatMachIntell
@UZH_Science
I'm *extremely* proud of my #GTD workflow that allowed me to achieve #InboxZero goal today, for the second time in my life!
This was only possible thanks to #emacs #mu4e and #org #orgmode
(see also https://members.optusnet.com.au/~charles57/GTD/gtd_workflow.html )
10.5.2024 10:07I'm *extremely* proud of my #GTD workflow that allowed me to achieve #InboxZero goal today, for the second time in my life!This was only...I'm proud to see that our latest paper on #neuromorphic dendritic circuits that learn the right temporal delays with memritsors (https://www.nature.com/articles/s41467-024-47764-w ) is featured in the Nature Communications Editors’ Highlights page (https://www.nature.com/collections/bjiiabbacg )
🙃
30.4.2024 17:06I'm proud to see that our latest paper on #neuromorphic dendritic circuits that learn the right temporal delays with memritsors...Curious about the zoo of #spike-based #learning mechanisms and interested in their #neuromorphic #analog circuit implementation?
Our survey on local synaptic plasticity models and circuits is finally officially published!
https://iopscience.iop.org/article/10.1088/2634-4386/ad05da
Our effort to show that "Learning inverse kinematics using neural computational primitives on #neuromorphic hardware" can actually be used to control humanoid robots, is out in the new journal "npj|robotics" https://doi.org/10.1038/s44182-023-00001-w
As Chiara Bartolozzi writes in her editorial, our work shows:
>how computational primitives such as triplet spike-timing dependent plasticity, basal ganglia-inspired disinhibition, and cooperative-competitive networks can achieve precise
and robust motor control.
Happy to share my thoughts on Neuromorphic Engineering on this EE|Times podcast:
https://www.eetimes.com/podcasts/building-brain-like-systems-from-sub-threshold-electronics/
I'm extremely proud of the amazing work that Dmitri Zendrikov has done under the supervision of Sergio Solinas and myself, to show how inhomogeneous and noisy electronic #neuromorphic circuits (like real neurons and synapses) can produce reliable and robust computation, by (surprise surprise) using brain-inspired representations and strategies!
The paper that was just a pre-print is now officially published at:
https://iopscience.iop.org/article/10.1088/2634-4386/ace64c
Our manuscript on how to achieve robust computation in mixed-signal (noisy) #neuromorphic electronic systems, using the same strategies and mechanisms that animal #brains use has finally been published!!! 💥 😂
https://doi.org/10.1088/2634-4386/ace64c
I'm happy to announce that Charlotte Frenkel's (and my and David Bol's) #neuromorphic paper on "Tradeoffs and Synergies Between Natural and Artificial Intelligence" is finally out: https://ieeexplore.ieee.org/document/10144567
6.6.2023 08:21I'm happy to announce that Charlotte Frenkel's (and my and David Bol's) #neuromorphic paper on "Tradeoffs and Synergies...Proud to see my #UZH colleague Melika Payvand representing the #ISCAS2023 highlights on #thebird site!
(and there is even our DPI #neuromorphic circuit on her slides!)
https://pbs.twimg.com/media/FwxXL5GXgAIwTOf?format=jpg&name=4096x4096
23.5.2023 14:46Proud to see my #UZH colleague Melika Payvand representing the #ISCAS2023 highlights on #thebird site!(and there is even our DPI...Proud to see our INI #UZH_ch #neuromorphic spinoff #SynSense sailing into success!!!
https://www.eetimes.com/synsense-demos-neuromorphic-processor-in-customers-toy-robot/
⬆️
⬇️