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

It’s actually very easy and straightforward setting up a large-scale, multi-population #SpikingNeuralNetwork (#SNN) with the #NESTsimulator. Here is an example with two distinct populations of #Izhikevich neurons:

https://www.fabriziomusacchio.com/blog/2024-06-30-nest_izhikevich_snn/

Mmm...
Once I was surfing the net for some papers in CNS and I came across a paper about Natural Language Processing all of a sudden and I realized There aren't any real Spiking Neural Networks that are bio plausible for NLP.

I started reading some papers and some books to gain more knowledge about Language comprehension and language generation but no real model suggestions yet.

Do anyone know any labs working on NLP in Computational neuroscience or how to connect with them?

A Thousand Brains : a new theory of intelligence

Hi :)
I'm a new member of this amazing community and I would like to have my first post on the amazing breakthrough of Jeff Hawkins.

Before giving my opinion, I would like everyone to tell me whether they know the theory of have they read the book or the original papers and If so what's their insight on them?

I think the material in this research is pretty much fascinating and would like to engage and talk about it more.

#cns #SpikingNeuralNetwork #theory_of_brain #jeff_hawkins
#neuroscience #computationalneuroscience