Jens E. Pedersen - @jegp@mastodon.social (@jensegholm) 's Twitter Profile
Jens E. Pedersen - @[email protected]

@jensegholm

Researching neuromorphic computers. Curious about abstractions. Cares about #FOSS

ID: 221431142

linkhttps://jepedersen.dk calendar_today30-11-2010 17:08:04

829 Tweet

512 Followers

448 Following

Jens E. Pedersen - @jegp@mastodon.social (@jensegholm) 's Twitter Profile Photo

Turns out that serious mathematicians work with intuitions and embodied sensations. Which isn't really surprising, but far from the accepted mode of communication, I find. Super poignant and strong argument for nurturing more "handwavy" explanations and intuitions

Pioneer Centre for AI (@aicentredk) 's Twitter Profile Photo

The Pioneer Centre for AI invites applications for 9 PhD Positions for different projects at the Centre across our collaboratories and partner universities. πŸ—“ Application deadline is 22 March and 1 April, 2024. For more information: aicentre.dk/phd-openings

The Pioneer Centre for AI invites applications for 9 PhD Positions for different projects at the Centre across our collaboratories and partner universities.

πŸ—“ Application deadline is 22 March and 1 April, 2024.

For more information:
aicentre.dk/phd-openings
Jens E. Pedersen - @jegp@mastodon.social (@jensegholm) 's Twitter Profile Photo

Thrilled to start at SLAC where I'll be studying #neuromorphic computational abstractions with Sadas Shankar. A huge thanks to NeuroPAC for funding this work πŸŽ‰ Are you in the area and have time to chat? Hit me up!

Friedemann Zenke (@hisspikeness) 's Twitter Profile Photo

1/6 Surrogate gradients (SGs) are empirically successful at training spiking neural networks (SNNs). But why do they work so well, and what is their theoretical basis? In our new preprint led by Julia Gygax, we provide the answers: arxiv.org/abs/2404.14964

1/6 Surrogate gradients (SGs) are empirically successful at training spiking neural networks (SNNs). But why do they work so well, and what is their theoretical basis? In our new preprint  led by <a href="/JuliaGygax4/">Julia Gygax</a>, we provide the answers: arxiv.org/abs/2404.14964
ELLIS (@ellisforeurope) 's Twitter Profile Photo

ELLIS Reading Groups are initiated and organized by #ELLISPhD students and postdocs. Join the next session of the #Mathematics of #DeepLearning group on 30 May! πŸ‘‡πŸ‘‡Elise AI

Bill Podlaski (@bill_p_) 's Twitter Profile Photo

🚨 New paper alert! Have you ever suspected that spikes, Dale's law, and E/I balance might be more than just biological constraints, but rather fundamental to how brains compute? Check out my latest work with Christian Machens ChampalimaudResearch: tinyurl.com/mpwkkubd 🧡 (1/5)

Guillaume Bellec (@bellecguill) 's Twitter Profile Photo

Surya Ganguli Stanislav Fort Kording Lab πŸ¦– Blake Richards Friedemann Zenke Aran Nayebi This depends on what "biologically plausible" means. I like to read about grad approx that relate to measured / measurable plasiticity mechanisms. Important references, imo: nature.com/articles/s4159… nature.com/articles/s4159… nature.com/articles/s4146… shorturl.at/CB8Cc