Bryan M. Li
Encode Fellow at Imperial College London | Biomedical AI PhD at the University of Edinburgh. Working on #NeuroAI and #ML4Health. https://bryanli.io.
- We present our preprint on ViV1T, a transformer for dynamic mouse V1 response prediction. We reveal novel response properties and confirm them in vivo. With @wulfdewolf.bsky.social, Danai Katsanevaki, @arnoonken.bsky.social, @rochefortlab.bsky.social. Paper and code at the end of the thread! 🧵1/7
- ViV1T, only trained on natural movies, captured well-known direction tuning and contextual modulation of V1. Despite no built-in mechanism for modelling neuron connectivities, the model predicted feedback-dependent contextual modulation (including feedback onset delay!) (Keller et al. 2020). 2/7
- Reposted by Bryan M. LiTwo flagship papers from the International Brain Laboratory, now out in @Nature.com: 🧠 Brain-wide map of neural activity during complex behaviour: doi.org/10.1038/s41586-025-09235-0 🧠 Brain-wide representations of prior information in mouse decision-making: doi.org/10.1038/s41586-025-09226-1 +
- Reposted by Bryan M. LiExcited to share our new pre-print on bioRxiv, in which we reveal that feedback-driven motor corrections are encoded in small, previously missed neural signals.
