Compositionality exists on a continuum of increasing complexity rather than as a binary trait. Studying its implementation in simpler biological and artificial systems is the most tractable path towar...

Neurons in the brain are often many synapses away from motoneurons, yet if a movement results in error, each distant neuron needs a teacher that considers its specific contribution to production of th...

Biological and neuromorphic recurrent neural networks (RNNs) are subject to spatial and temporal locality constraints on the information that can plausibly be used during learning. A common strategy t...

A 2-week summer course hosted at Chalmers University of Technology on analytical approaches to language acquisition and higher-level cognition.

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Standard accounts of memory consolidation emphasise the stabilisation of stored representations, but struggle to explain representational drift, semanticisation, or the necessity of offline replay. He...

march 16th, workshop day 1 @ cosyne 2026

Principia Research Fellows: Theoretical Model Organisms for AI Safety Principia · London · Fixed-term (6 months) with potential extension · Starting ASAP We are launching Principia, a new technical re...

This reading group examines the interplay between the theoretical foundations of deep learning and the practical challenge of making machine learning efficient. On the theory side, we study mathematic...

We define a notion of simplicity that applies to a broad class of architectures, and show both analytically and with explicit examples that during learning simplicity decreases in a step-wise manner.

A context-driven memory model simulates a wide range of characteristics of waking and sleeping hippocampal replay, providing a new account of how and why replay occurs.

Perceptual decisions are shaped by expectations about sensory stimuli and rewards, learned through sensory and reward prediction errors. Dopamine is known to convey reward prediction errors that shape...