@ithobani.bsky.social
Neuroscience postdoc at Stanford and Enigma (enigmaproject.ai), previously philosophy of neuroscience PhD. Building large-scale brain models using deep learning.
Pinned
1/X Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms.
Preprint: arxiv.org/abs/2510.02523
Preprint: arxiv.org/abs/2510.02523
1/X Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms.
Preprint: arxiv.org/abs/2510.02523
Preprint: arxiv.org/abs/2510.02523
October 6, 2025 at 3:22 PM
1/X Our new method, the Inter-Animal Transform Class (IATC), is a principled way to compare neural network models to the brain. It's the first to ensure both accurate brain activity predictions and specific identification of neural mechanisms.
Preprint: arxiv.org/abs/2510.02523
Preprint: arxiv.org/abs/2510.02523