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! 😉

For all you lovers of #SpikingNeuralNetworks out there, make sure to put November 7-8 in your diary and submit a 300 word abstract to SNUFA 2023:

https://snufa.net/2023

Invited speakers this year include:
⭐ Rodolphe Sepulchre
⭐ Melika Payvand
⭐ Gabriel Ocker
⭐ Jeff Krichmar

In previous years we usually get over 700 participants, and about 200 live at each talk. Not to mention hundreds to thousands of views after the event on Youtube. Best of all - it's all free so there's really no reason you shouldn't already be writing your abstract.

And if you're still not convinced, check out previous years' talks and our monthly seminar series on my Youtube channel: https://www.youtube.com/@neuralreckoning

What are you waiting for, get on over there:

https://snufa.net/2023

#neuroscience #compneuro #snn #snns #snufa

Announcing #Rockpool v2.5! Professional #MachineLearning for #SNNs. The Tiny-est of #TinyML. Now supporting the new audio processing platform 🐝Xylo-Audio from SynSense!

`pip install` your copy today, or clone from github.com/synsense/rockpool