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.
We view the representation at each stage as a neuronal population code whose representational geometry determines which images are represented as similar and which as dissimilar. We view neuronal computation as the transformation of this representational similarity structure across stages of processing. Our goal then is to characterise the representation at each stage and to find computational models (largely inspired by computer vision) that mimic the representational similarity structure in each brain region.
Katherine Storrs, MRC core-funded postdoctoral researcher
Marieke Mur, Postdoctoral researcher, British Academy Fellow
Vassilis Pelekanos, Postdoctoral researcher, ERC Proof of Concept Grant
Tim Kietzmann, Visiting postdoctoral researcher, DynaVision – Representational Dynamics in Vision – personal page
Jasper van den Bosch, Postdoctoral researcher, ERC Proof of Concept Grant
Rob Mok, Postdoctoral researcher, ERC Proof of Concept Grant
Xiaokang Liu, Programmer, ERC Proof of Concept Grant
Andrew Bell, senior invesigator (50% position), MRC
Linda Henriksson, Visiting postdoctoral researcher, Aalto University Fellow
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
Kriegeskorte N, Mur M, Ruff D, Kiani R, Bodurka J, Esteky H, Tanaka K, Bandettini P. (2008). Neuron 60(6): 1126-41.
Representational similarity analysis – connecting the branches of systems neuroscience
Kriegeskorte N, Mur M and Bandettini PA (2008) Frontiers in Systems Neuroscience. doi:10.3389/neuro.06.004.2008.
Information-based functional brain mapping
Kriegeskorte N, Goebel R, Bandettini P. (2006) PNAS 103: 3863-3868.
Visual Population Codes – Toward a Common Multivariate Framework for Cell Recording and Functional Imaging
Kriegeskorte N, Kreiman G (Eds) MIT Press 2011
Kriegeskorte N, Walther A, Deca D. Front Comput Neurosci. 2012;6:94.
Open evaluation: a vision for entirely transparent post-publication peer review and rating for science
Kriegeskorte N. Front Comput Neurosci. 2012;6:79.