The objective of this programme is to understand the computational and neural mechanisms of visual object perception in health and disease and their variation across individuals.
Object recognition is effortless for humans and animals, and yet it is one of the unsolved problems of artificial intelligence. Our central challenge is to understand the transformation of representations along the ventral visual stream, the level at which natural categories and semantic dimensions are represented and the computational mechanisms that enable the brain to perform object recognition so swiftly and more reliably than current computer vision systems.
We study representations of objects, places, and faces and higher-level semantic content in healthy volunteers and also in selected clinical populations, starting with autism. Our main methodology is high-resolution functional magnetic resonance imaging combined with pattern-information analyses.
Marta Correia, MRC staff scientist
Yara van Someren, MA student
Olivier Joly, Postdoctoral researcher, ERC
Arjen Alink, Postdoctoral researcher, British Academy Fellow
Hamed Nili, PhD student, MRC
Alexander Walther, PhD student, Gates Foundation
Seyed Mahdi Khaligh-Razavi, PhD student, Cambridge International Scholarship Scheme
Ian Charest, MRC core-funded postdoctoral Researcher
Johan Carlin, Postdoctoral researcher, British Academy Fellow