Models and interventions of cognition.

How do latent and inference time computations enable large language models (LLMs) to solve multi-step reasoning? We introduce a framework for tracing and steering algorithmic primitives that underlie ...

This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...

Primates pursue goals over extended periods and over multiple steps. The ability to track progress and its rate is critical for such pursuit, yet the neural mechanisms of this tracking are unclear. We...

A researcher in Europe feels left out of their team and held to different standards from their colleagues. How can they challenge exclusion without risking their position?

Science Podcast · How can we study the mind, something we can never see or touch? This podcast tells the story of how psychologists, neuroscientists, computer scientists, linguists, and philosophers w...

Nouri et al., (2025). TranCIT: Transient Causal Interaction Toolbox. Journal of Open Source Software, 10(116), 9302, https://doi.org/10.21105/joss.09302

Postdoc position -- Social Learning and Cultural Evolution posted on March 2, 2026 We are currently seeking a highly motivated individual...

How humans process competing information when making multi-alternative decisions remains unclear. Here, the authors show that the brain resolves the trade-off between “evaluating within” and “comparin...

How do large-scale brain networks interact to enable cognition? Correlated oscillations, a mechanism for inter-areal interactions, can be expressed as phase coherence or amplitude co-fluctuations. Whi...

This commentary explores how collective intelligence arises from local interactions in animal groups and how these principles inform the design of swarm robotic systems, addressing the challenge of ac...

Do you want to work as a Postdoc Position: Neural Circuitry Underlying Working Memory at the Faculty of Social Sciences? Check our vacancy!

This book offers reports on new findings relating to mechanisms of decisions, modeling of decision making and impaired decision making upon diseases.

Nature Communications - People often discard incoming information when it contradicts their pre-existing beliefs about the world. Here, the authors show that this discarded information is precisely...

Introduction

Flexible goal-directed behaviour relies on the selective processing of internal goal representations and external sensations. Yet, internal and external selection processes have classically been studi...

Collective motion, which is ubiquitous in nature, has traditionally been explained by “self-propelled particle” models from theoretical physics. Here we show, through field, lab, and virtual reality e...

Competing for resources in dynamic social environments is fundamental for survival, and requires continuous monitoring of both 'self' and 'others' to guide effective choices. Yet our understanding of ...

Flexible learning requires humans to adjust their behaviour to uncertainty. While normative learning models explain many adaptive behaviours, systematic biases-arising from inaccurate assumptions or c...

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).

The latent circuit model identifies low-dimensional mechanisms of task execution from heterogenous neural responses. This approach reveals a latent inhibitory mechanism for context-dependent decisions...

Using a novel method for isolating cognitive and motor neural dynamics, the authors show that dynamics often attributed to cognitive processes were corrupted by movements and that distinct populations...

A major challenge in neuroscience is reconciling idealized theoretical models with complex, heterogeneous experimental data. We address this challenge through the lens of continuous-attractor networks...

Humans and other animals learn the abstract structure of a task and then use this structure to rapidly generalize to new situations. A recent study reveals how the brain builds and uses abstract task ...