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Ismael Balafrej Profile
Ismael Balafrej

@IsmaelBalafrej

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45
Following
142
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PhD | Data scientist | Neuromorphic engineering

Canada
Joined February 2012
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@IsmaelBalafrej
Ismael Balafrej
1 year
RT @DamienQuerlioz: Our self-powered memristor neural network! It harvests energy with a tiny solar cell, and adjusts its accuracy dependi…
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@IsmaelBalafrej
Ismael Balafrej
1 year
Excited for our latest work to be published in @NatureComms 🎉
@Selinitter
Selina La Barbera
1 year
.@IsmaelBalafrej et al. @iemn_fr @genieUdeS propose a bio-inspired #artificialneuralnetwork #hardware able to self-adapt to solve new complex tasks, by autonomously connecting nodes using #electropolymerization Now out 👉@NatureComms
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@IsmaelBalafrej
Ismael Balafrej
2 years
RT @hisspikeness: Announcing SNUFA 2023: 7-8 November (online). Your friendly focus meeting on spiking neural networks. Invited speakers: R…
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@IsmaelBalafrej
Ismael Balafrej
2 years
RT @IOPneuromorphic: Now available as an Accepted Manuscript, free to read forever: Ahmad El Ferdaoussi, Jean Roua…
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@IsmaelBalafrej
Ismael Balafrej
2 years
@imaneehm For recurrent neural networks, the story is a little bit different. With shorter timesteps you could have spikes from inhibitory neurons preventing other neurons from spiking. This is also a big motivation for smaller timesteps.
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@IsmaelBalafrej
Ismael Balafrej
2 years
@imaneehm The effective decay over a fixed period of time is the same regardless of the choice of timestep when using an exact solution. The difference is actually during spike integration, where you "miss" spikes with a big dt. I'm not sure what you mean by no learning in ML.
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@IsmaelBalafrej
Ismael Balafrej
2 years
Stay tuned for more neuromorphic, data science and general machine learning content ! And shoutout to @quarto_pub for making this experience effortless.
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@IsmaelBalafrej
Ismael Balafrej
2 years
RT @MelikaPayvand: Call for paper for @icons_neuro 2023 is out! Deadline: April 15th Conference: August 1-3 We look forward to seeing y'al…
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@IsmaelBalafrej
Ismael Balafrej
2 years
RT @IOPneuromorphic: Part of this paper from @GaspardGoupy Alexandre Juneau-Fecteau, @nikhil_garg20 @IsmaelBalafre
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@IsmaelBalafrej
Ismael Balafrej
2 years
@neuralreckoning @NicolasPerezNi1 But perhaps it is more accurate to scale the weights with half the leak ? Assuming a spike can happen with uniform distribution between 0..dt, then the average leakage of a spike would be exp(dt/2/tau) per clock cycle. Still, I think the refrac. period is the important part: 2/2
Tweet media one
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@IsmaelBalafrej
Ismael Balafrej
2 years
RT @C_Frenkel: I'm thrilled to announce that the 1st event of the tinyML neuromorphic initiative will take place online on September 27, 8:…
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@IsmaelBalafrej
Ismael Balafrej
3 years
RT @neuralreckoning: Spiking neural network workshop announcement! We are delighted to invite you to SNUFA 22. Online, free workshop, Nove…
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@IsmaelBalafrej
Ismael Balafrej
3 years
RT @MelikaPayvand: If you are at the @ISCAS2022 conference, come see us at the @JoinNeurotech booth and learn more about what we’re doing t…
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@IsmaelBalafrej
Ismael Balafrej
3 years
RT @julie_grollier: We have several PhD and post-doc positions to work on learning through physics in hardware spintronic, memristive as w…
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@IsmaelBalafrej
Ismael Balafrej
3 years
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@IsmaelBalafrej
Ismael Balafrej
3 years
RT @IOPneuromorphic: Just published: @IsmaelBalafrej, Fabien Alibart and @JeanRouat from @USherbrooke @genieUdeS @sciencesUdeS look at a ne…
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