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All researchers should fight against this. Every week I try to persuade my students that top papers often have few quantitative results. With work that's new, important, and clearly qualitatively different (zero to one!), you don't need quantitative results. Demos not tables!

I’m excited to share a project I’ve been working on for over a year, which I believe will fundamentally change our approach to language models. We’ve designed a new architecture, which replaces the hidden state of an RNN with a machine learning model. This model compresses

For anyone in SF, come join us building tools-for-science later this month! 🔨

Happy to share the latest version of our work on compositional cognitive maps in hippocampus, with Jo Warren, @jrcwhittington, Tim Behrens. We propose hippocampus constructs maps from cortical building blocks in replay – now with empirical support! nature.com/articles/s4159… 1/9

Mixed recurrent connectivity in primate prefrontal cortex doi.org/10.1371/journa… #neuroscience

Looking for an exciting fellowship in neuroAI, with competitive salary (~£100k)? Our group is hiring for a project on AI for Systems-Behavioral Neuroscience, more info here: encode.pillar.vc/projects/behav… #compneuro #neuroai #neuroscience #ai

My favorite figure from our new Circuits papers -- "How does Claude do math?" Claude simultaneously does: 1. a back of the envelope calculation of the tens digits -- "the answer should be somewhere around 90". 2. an exact calculation of 6+9=15 using these super cool look up

A nice paper illustrating how far away modern AI and neuromorphic computing is from the type of learning actually seen in the brain

🚀Let’s Think Only with Images. No language and No verbal thought.🤔 Let’s think through a sequence of images💭, like how humans picture steps in their minds🎨. We propose Visual Planning, a novel reasoning paradigm that enables models to reason purely through images.

𝘏𝘶𝘮𝘢𝘯𝘴 𝘵𝘩𝘪𝘯𝘬 𝘧𝘭𝘶𝘪𝘥𝘭𝘺—𝘯𝘢𝘷𝘪𝘨𝘢𝘵𝘪𝘯𝘨 𝘢𝘣𝘴𝘵𝘳𝘢𝘤𝘵 𝘤𝘰𝘯𝘤𝘦𝘱𝘵𝘴 𝘦𝘧𝘧𝘰𝘳𝘵𝘭𝘦𝘴𝘴𝘭𝘺, 𝘧𝘳𝘦𝘦 𝘧𝘳𝘰𝘮 𝘳𝘪𝘨𝘪𝘥 𝘭𝘪𝘯𝘨𝘶𝘪𝘴𝘵𝘪𝘤 𝘣𝘰𝘶𝘯𝘥𝘢𝘳𝘪𝘦𝘴. But current reasoning models remain constrained by discrete tokens, limiting their full

The cortical critical power law balances energy and information in an optimal fashion doi.org/10.1073/pnas.2… #neuroscience

Funded PhD opportunity with Prof Sarah-Jayne Blakemore and I, at Cambridge. We are looking for someone interested in developmental science, to start in the coming academic year. Please share it with anyone you think might be interested (see details attached 😁). drive.google.com/file/d/1RIvgoU…

Honored to share a major thread of my PhD research, out now in PNAS. We address a core issue with how models are used for scientific discovery. Models are so important that they define the entire scientific process... 1/n

Excited to share work on using classical search approaches to scale inference in diffusion models! We show how global graph search algorithms (BFS, DFS) and local search can be used to improve generation performance across domains such as image generation, planning, and RL!

I am weirdly obsessed with closest point query algorithms in physics, geometry and recently ML applications On GPU you care about memory access and data locality, so you want spatial neighbors to be close in 1D index space. Same is desired for attention mechanics, because you

Super happy and proud to share our novel scalable RNN model - the MesaNet! This work builds upon beautiful ideas of 𝗹𝗼𝗰𝗮𝗹𝗹𝘆 𝗼𝗽𝘁𝗶𝗺𝗮𝗹 𝘁𝗲𝘀𝘁-𝘁𝗶𝗺𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (TTT), and combines ideas of in-context learning, test-time training and mesa-optimization.

Incredibly excited for the UK Neural Computation Conference 2025 @ Imperial College London, 9th - 11th July (main event 10th - 11th) 🇬🇧. World leading scientists working in brain computation - from advanced experimental neuroscience to AI and mathematical modelling (and all

I’m excited about this: 12 month fellowship for AI engineers to work on some of the biggest challenges in government👇

Exciting new position to join our project hosted at Imperial College London with Danyal !

Less than 2 weeks until CCN 2025 in Amsterdam! Here's everything you need to know to prepare for the 8th Cognitive Computational Neuroscience conference, August 12-15 at University of Amsterdam 🧠