Author summary Recent neural networks have achieved remarkable success across a wide range of visual tasks, often rivaling or surpassing human performance. Yet, it remains unclear whether these system...

Objects in the real world frequently move along complex, non-linear trajectories shaped by their environment. As they do, they often pass temporarily out of sight, occluded by the surrounding environm...

Are you interested in understanding how attention shapes what we see? Would you like to combine behavioural experiments, psychophysics, and eye tracking to uncover how the brain selects and prioritise...

Human and macaque studies of inferotemporal cortex (IT) have shaped our understanding of object vision, yet the extent of their representational alignment and the precise nature of this correspondence...

YouTube video by Kurzgesagt – In a Nutshell

A combined MEG + fMRI benchmark dataset with known neural sequences to validate replay detection methods (TDLM and SODA).

How sensitive is TDLM really? Can we actually find replay when we know it is present?

Low-level features of peripheral saccade targets are fed back to early foveal retinotopic cortex in a signal that resembles activation elicited by direct foveal presentation.

The debate highlights opposing views on how the cortex transmits information.

Artificial neural networks applied to psychology, neuroscience, and climate change

Nature Reviews Neuroscience - Top-down and bottom-up neuroscience as collections of practices

Host page for the first Symposium on the Platonic Space

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

I argue that there is currently no alternative to functionalism. Functionalism explains the differences between types of mental states. No biological theory does. Functionalist theories account for th...

Discover the PhD in Data Science requirements at NYU. Learn about deadlines, required degrees, coursework, and application details for Fall 2025 admissions.

Living systems exhibit a range of fundamental characteristics: they are active, self-referential, self-modifying systems. This paper explores how these characteristics create challenges for convention...

Our ability to predict upcoming events is a fundamental component of human cognition. One way in which we do so is by exploiting temporal regularities in sensory signals: the ticking of a clock, falli...