What defines the computational contribution of a brain or neural model representation? Should we characterize representations by the geometry of the points corresponding to pieces of content in the high-dimensional response space? Or should we care about the topology? 1/10

Reconstructing an 𝘂𝗻𝗯𝗼𝘂𝗻𝗱𝗲𝗱 𝘀𝗰𝗲𝗻𝗲 𝗳𝗿𝗼𝗺 𝗮 𝗳𝗲𝘄 𝗼𝘂𝘁𝘄𝗮𝗿𝗱-𝗳𝗮𝗰𝗶𝗻𝗴 𝗶𝗺𝗮𝗴𝗲𝘀 is tough. We present 6Img-to-3D, an efficient, scalable single-shot image to 3D reconstruction method.

1/13 Heavily updated preprint! arxiv.org/abs/2209.11737 We show that the contextual information encoded in Large Language Models (LLMs) is beneficial for modelling the complex visual information extracted by the brain from natural scenes. 🧵

1/5 Excited to finally share our new paper (led by Laura Driscoll, now a group leader at the Allen!) in Nature Neuroscience on modular computation in neural networks! We've explored how artificial recurrent networks handle multiple tasks, offering insights into flexible computation.

🚨 CogSci paper w/ Sushrut Thorat @adriendoerig Tim Kietzmann - escholarship.org/uc/item/1516x0… How is attention controlled in the brain? Attention Schema Theory suggests there is a model controlling the attention (cf. body schema). Does a RL agent need an attention schema? 🧵1/10

While I cannot be present at #CCN2024 , the lab of course is - make sure to check out the projects: 🧵

Happening today! If you are at #CCN2024 and interested in continual learning / representational drift, come have a chat! (Poster C92)

🚨 Looking for a postdoc/research-scientist/lecturer position in the UK 🇬🇧, mid-2025! Q: How does the visual cortex acquire its expressivity (SSL/RL), process visual relations, and interface with decision-making networks? #NeuroAI #CogSci #CompNeuro CV: sushrutthorat.com/assets/cv-full…

🧵Join us for a short tour of how a large-scale MEG dataset collected during active vision made us question it all. New work with Carmen Amme Philip Sulewski Eelke Spaak 🦋 @EelkeSpaak.bsky.social Martin Hebart Peter König biorxiv.org/content/10.110…