Fabrizio Musacchio
@fabmusacchio.bsky.social
Hi 👋 I'm a postdoc in the #Neuroimmunology and #Imaging group at the @dzne.science Bonn 🧪🔬 Passionate about #ComputationalNeuroscience 🧠💻 and #NeuralModeling 🧮
🌍 fabriziomusacchio.com
👨💻 github.com/FabrizioMusacchio
🐘 sigmoid.social/@pixeltracker
🌍 fabriziomusacchio.com
👨💻 github.com/FabrizioMusacchio
🐘 sigmoid.social/@pixeltracker
Reposted by Fabrizio Musacchio
My spicy take would be that neural manifolds may not be disprovable given how the brains we are aware of are built, and the challenges are: (1) whether they give us understanding beyond single neuron descriptions (2) whether they have "causal power"
A recent attempt at this youtu.be/oxQyKByqDSU?...
A recent attempt at this youtu.be/oxQyKByqDSU?...
Juan Gallego
YouTube video by Champalimaud Research
youtu.be
November 26, 2025 at 6:22 AM
My spicy take would be that neural manifolds may not be disprovable given how the brains we are aware of are built, and the challenges are: (1) whether they give us understanding beyond single neuron descriptions (2) whether they have "causal power"
A recent attempt at this youtu.be/oxQyKByqDSU?...
A recent attempt at this youtu.be/oxQyKByqDSU?...
Reposted by Fabrizio Musacchio
6. The AI scientist took 45 minutes and $8.25 in LLM tokens to find a new tuning equation that fits the data better, and predicts the population code’s high-dimensional structure – even though we had only tasked it to model single-cell tuning.
November 14, 2025 at 6:07 PM
6. The AI scientist took 45 minutes and $8.25 in LLM tokens to find a new tuning equation that fits the data better, and predicts the population code’s high-dimensional structure – even though we had only tasked it to model single-cell tuning.