@christossourmpis.bsky.social
Reposted
A cool EPFL News article was written about our recent neurotheory paper on spikes vs rates!
Super engaging text by science communicater Nik Papageorgiou.
actu.epfl.ch/news/brain-m...
Definitely more accessible than the original physics-style, 4.5-page letter 🤓
journals.aps.org/prl/abstract...
Super engaging text by science communicater Nik Papageorgiou.
actu.epfl.ch/news/brain-m...
Definitely more accessible than the original physics-style, 4.5-page letter 🤓
journals.aps.org/prl/abstract...
Brain models draw closer to real-life neurons
Researchers at EPFL have shown how rough, biological spiking neural networks can mimic the behavior of brain models called recurrent neural networks. The findings challenge traditional assumptions and...
actu.epfl.ch
January 22, 2025 at 4:05 PM
A cool EPFL News article was written about our recent neurotheory paper on spikes vs rates!
Super engaging text by science communicater Nik Papageorgiou.
actu.epfl.ch/news/brain-m...
Definitely more accessible than the original physics-style, 4.5-page letter 🤓
journals.aps.org/prl/abstract...
Super engaging text by science communicater Nik Papageorgiou.
actu.epfl.ch/news/brain-m...
Definitely more accessible than the original physics-style, 4.5-page letter 🤓
journals.aps.org/prl/abstract...
Reposted
Pre-print 🧠🧪
Is mechanism modeling dead in the AI era?
ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that.
We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models
1/8
Is mechanism modeling dead in the AI era?
ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that.
We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models
1/8
January 8, 2025 at 4:33 PM
Pre-print 🧠🧪
Is mechanism modeling dead in the AI era?
ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that.
We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models
1/8
Is mechanism modeling dead in the AI era?
ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that.
We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models
1/8