https://neuro.plasticit.ai
More info: ivado.ca/en/scholarsh...
#AI #ArtificialIntelligence #R3AI #Funding #Postdoc
What will researchers use it for?
go.nature.com/4gjekiO
What will researchers use it for?
go.nature.com/4gjekiO
www.nature.com/articles/s41...
www.nature.com/articles/s41...
www.meta.com/experiences/...
Premiering at the Tribeca Film Festival (2017), VHIL's most studied piece on VR empathy. Samples in the 1000s, behavioral measures, longitudinal outcomes months later.
www.meta.com/experiences/...
Premiering at the Tribeca Film Festival (2017), VHIL's most studied piece on VR empathy. Samples in the 1000s, behavioral measures, longitudinal outcomes months later.
I'm def seeing a huge jump in performance! Looking forward to the larger events this enables!
Welcome to the next era of Resonite!
I'm def seeing a huge jump in performance! Looking forward to the larger events this enables!
alleninstitute.org/news/learnin...
alleninstitute.org/news/learnin...
www.raindanceimmersive.com#/2025-hommage/
#Moebius #Resonite
www.raindanceimmersive.com#/2025-hommage/
#Moebius #Resonite
The results challenge the idea that neurons follow a single learning strategy and offer a new perspective on how the brain learns and adapts behavior. scim.ag/3YQdUZK #SciencePerspective
The results challenge the idea that neurons follow a single learning strategy and offer a new perspective on how the brain learns and adapts behavior. scim.ag/3YQdUZK #SciencePerspective
Great collaboration with @s-michelmann.bsky.social and @doellerlab.bsky.social!
Read the full paper here:
www.biorxiv.org/content/10.1...
Great collaboration with @s-michelmann.bsky.social and @doellerlab.bsky.social!
Read the full paper here:
www.biorxiv.org/content/10.1...
Vision models often struggle with learning both transformation-invariant and -equivariant representations at the same time.
@hafezghm.bsky.social shows that self-supervised prediction with proper inductive biases achieves both simultaneously. (1/4)
#MLSky #NeuroAI
Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning?
TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors!
🧵 (1/10)
Vision models often struggle with learning both transformation-invariant and -equivariant representations at the same time.
@hafezghm.bsky.social shows that self-supervised prediction with proper inductive biases achieves both simultaneously. (1/4)
#MLSky #NeuroAI
Seq-JEPA is a step in the right direction. It learns by predicting sensory outcomes from series of interactions. Cool things emerged! 👇with @shahabbakht.bsky.social
#MLSky #NeuroAI
Can we simultaneously learn transformation-invariant and transformation-equivariant representations with self-supervised learning?
TL;DR Yes! This is possible via simple predictive learning & architectural inductive biases – without extra loss terms and predictors!
🧵 (1/10)
Seq-JEPA is a step in the right direction. It learns by predicting sensory outcomes from series of interactions. Cool things emerged! 👇with @shahabbakht.bsky.social
#MLSky #NeuroAI
Our new paper explores this: elifesciences.org/reviewed-pre...
Our new paper explores this: elifesciences.org/reviewed-pre...
#NeuroAI #CompNeuro
#NeuroAI #CompNeuro
https://buff.ly/4fO2ps5
https://buff.ly/3CBRint
www.zdnet.com/article/how-...
or is there a better approach? I recall a "NeuroMigration" movement for mastadon ...
www.zdnet.com/article/how-...
or is there a better approach? I recall a "NeuroMigration" movement for mastadon ...
biorxiv.org/content/10.1...
(1/🧵) c’est parti!
biorxiv.org/content/10.1...
(1/🧵) c’est parti!