Honored (and scared) of being invited to give the keynote lecture on #neuromorphic for NER at IEEE EMBS 12th Annual International Conference on #NeuralEngineering (neuro.embs.org/2025/)

Slides available here: bit.ly/3Jspfek

#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! 😇

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 our DYNAP-SE

I'm about to char a special session on "#Neuromorphic Technology for Intelligent Edge Computing" at #ISCAS25 in London and present my view on using "Principles of #Neural Design for Implementing Efficient #Mixed-Signal #Neuromorphic Processors" 🙂
drive.switch.ch/index.php/s/...

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

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

Actually they say that neuromorphic is tightly tied to hardware which shares the same properties of the neural computational substrate, and (analog subthreshold) silicon happens to share many properties. So it is quite the opposite...

Here is the original definition of #neuromorphic. It is pretty clear to me that it does *not* include algorithms detached from a hardware computational substrate. It even points out that using conventional computers and SW algorithms will make a mess...
Indeed "neuromorphic" today is a mess!

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"