
Ismael Balafrej
@ismaelbalafrej
PhD | Data scientist | Neuromorphic engineering
ID: 505350528
27-02-2012 03:16:43
22 Tweet
42 Followers
126 Following

Just published: Ismael Balafrej, Fabien Alibart and @JeanRouat from Université de Sherbrooke Faculté de génie Faculté des sciences look at a new plasticity rule in P-CRITICAL: a reservoir autoregulation plasticity rule for neuromorphic hardware doi.org/10.1088/2634-4…


Join NOW Dan Goodman, @GunnarBlohm, @seanescola, megan peters 🧠, Kording Lab 🦖, and Brad Wyble @[email protected] for our first #NeuromatchAcademy AMA (Ask Me Anything) of the year on Reddit: reddit.com/r/IAmA/comment…

We have several PhD and post-doc positions to work on learning through physics in hardware spintronic, memristive as well as digital or mixed-signal CMOS circuits. Background in physics, CMOS design and machine learning all welcome! Damien Querlioz

If you are at the @ISCAS2022 conference, come see us at the JoinNEUROTECH booth and learn more about what we’re doing to create an active #neuromorphic community!


Spiking neural network workshop announcement! We are delighted to invite you to SNUFA 22. Online, free workshop, November 9-10, EU afternoons. Invited speakers Yiota Poirazi Priyadarshini Panda Charlotte Frenkel & Yonghong Tian. Details, registration, submissions at snufa.net/2022/



Part of ow.ly/pFWu50MabJ4, this paper from Gaspard Alexandre Juneau-Fecteau, Nikhil Garg Ismael Balafrej Fabien Alibart, Luc G Frechette, Dominique Drouin & Yann Beilliard looks at voltage-dependent synaptic plasticity enabled #SNN learning iopscience.iop.org/article/10.108…



Now available as an Accepted Manuscript, free to read forever: iopscience.iop.org/article/10.108… Ahmad El Ferdaoussi, Jean Rouat & Eric Plourde (Université de Sherbrooke, Faculté de génie) propose three efficiency measures based on information theory to quantitatively evaluate spike encoding techniques.


Announcing SNUFA 2023: 7-8 November (online). Your friendly focus meeting on spiking neural networks. Invited speakers: Rodolphe Sepulchre, Melika Payvand, Gabriel Ocker, Jeff Krichmar. Abstract submission open! snufa.net/2023. w/ Dan Goodman Charlotte Frenkel Emre O Neftci

Excited for our latest work to be published in Nature Communications 🎉

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_institute Nature Communications🌞 1/2
