Spontaneous jam at INI, after an amazing discussion on representing information in time in #SNNs . By matteo saponati Yassine Taoudi-Benchekroun and our amazing guest Advait Madhavan from NIST!

Challenging problems are only solved through synchronization of thoughts, and music is just that!

.Filippo_Moro Tristan Yigit Melika Payvand et al. present a #Spiking #NeuralNetwork #hardware with #dendritic architecture based on #memristive #devices for low-power signal processing with reduced memory footprint.
Now out 👉 Nature Communications nature.com/articles/s4146…

📢 Wondering how the neocortex works, how it is related to modern machine learning algorithms, and how this insight can be used to fuel next-gen neuromorphic hardware?
Have a look at this PhD opening in my team: tudelft.nl/over-tu-delft/…
Position open until filled, apply early!

Our astronomy data enhancement with deep learning idea is among these 195 selected Google Summer of Code projects, apply if interested

Our recent article on #Neuromorphic Spike Freq. Adaptation published in Nature Portfolio Comm. Eng.
Thanks co-authors Sai Sukruth Bezugam Melika Payvand Elisabeth Sounak & Chittotosh.
FITT
IIT Delhi, UC Santa Barbara ETH Zurich TCS Research

rdcu.be/dx1Yg

Our self-powered memristor neural network! It harvests energy with a tiny solar cell, and adjusts its accuracy depending on available energy! Very proud of this one IM2NP UMR 7334 C2N, Centre de Nanosciences et de Nanotechnologies CEA-Leti IPVF - Institut pour la Transition Energétique Nature Communications🌞 1/2

If you're interested in dendritic computation, our most recent findings are just published! With Zach Friedenberger and at Nature Computational Science
Direct access: rdcu.be/duzz9
Online: nature.com/articles/s4358…

ETH Zurich professor Melika Payvand talks in this podcast about how machines think at different timescales and how memristors help with this challenge.

brnw.ch/21wFYTb

EE Times | Electronic Engineering Times

A great start to 2024! :) I am very proud of this work, which took a few years, great collaborations, and lots of TLC to be completed! :)

📃[Paper] lnkd.in/e8SU2ub2
💻[Code] lnkd.in/eRwB9zPj

The call for papers for the 2024 NICE Conference is now up!

easychair.org/cfp/NICE2024

We will be in San Diego next year - on the beach in La Jolla! - in late April. Come join us!

It was an absolute pleasure to talk about our passion in using the structure of the brain at different scales for implementing intelligent functionality.
Message: time scales and their physical implementations play a key role in building intelligent learning systems.

All talks (but one) from SNUFA 2023 spiking neural network workshop now available on our Youtube channel: youtube.com/playlist?list=…

(better later than never)

I wrote a small post about the workshop on Neuromorphic computing led by Emre O Neftci and Tobias Gemmeke at the latest Bernstein Network Computational Neuroscience conf.

matteosaponati.github.io/posts/2023/10/…

I talk about the work from Charlotte Frenkel, Melika Payvand and Guillaume Bellec + some thoughts