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2025
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Neuroscience
UK
2026

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Best Scientists

D-Index
276
Citations
342668
World Ranking
26
National Ranking
3

Neuroscience

D-Index
283
Citations
355789
World Ranking
3
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Neuroscience in United Kingdom Leader Award
  • 2025 - Research.com Best Scientists Award
  • 2025 - Research.com Neuroscience in United Kingdom Leader Award
  • 2022 - Research.com Neuroscience in United Kingdom Leader Award
  • 2015 - Member of Academia Europaea
  • 2006 - Fellow of the Royal Society, United Kingdom
  • 2003 - Golden Brain Award, Minerva Foundation
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Karl J. Friston is affiliated with University College London in the United Kingdom. Their research focuses primarily on Neuroscience, with extensive contributions to several subfields including Cognitive Neuroscience, Social Psychology, Artificial Intelligence, Experimental and Cognitive Psychology, and Psychiatry and Mental Health.

Their research covers a range of main topics, notably:

  • Neural dynamics and brain function
  • Embodied and Extended Cognition
  • Functional Brain Connectivity Studies
  • Action Observation and Synchronization
  • EEG and Brain-Computer Interfaces
  • COVID-19 epidemiological studies
  • Mental Health Research Topics

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Entropy
  • NeuroImage
  • Neuroscience & Biobehavioral Reviews

Notable recent papers authored or coauthored by Friston include:

  • "Music in the brain", 2022, Nature Reviews. Neuroscience
  • "In vitro neurons learn and exhibit sentience when embodied in a simulated game-world", 2022, Neuron
  • "Prediction and memory: A predictive coding account", 2020, Progress in Neurobiology
  • "A step-by-step tutorial on active inference and its application to empirical data", 2022, Journal of Mathematical Psychology
  • "Deeply Felt Affect: The Emergence of Valence in Deep Active Inference", 2020, Neural Computation

Frequent coauthors working with Friston include:

  • Thomas Parr
  • Lancelot Da Costa
  • Adeel Razi
  • Noor Sajid
  • Peter Zeidman

Friston has also published a book titled Active Inference (2022) with The MIT Press.

The scientist has received several awards and distinctions such as:

  • Member of Academia Europaea (2015)
  • Fellow of the Royal Society, United Kingdom (2006)
  • Golden Brain Award, Minerva Foundation (2003)
  • Member of the European Molecular Biology Organization (EMBO)
  • Fellow of The Academy of Medical Sciences, United Kingdom

Best Publications

  • Statistical parametric maps in functional imaging: A general linear approach

    K. J. Friston;A. P. Holmes;K. J. Worsley;J.-P. Poline

  • Voxel-Based Morphometry—The Methods

    John Ashburner;Karl J. Friston

  • The free-energy principle: a unified brain theory?

    Karl J. Friston

  • A voxel-based morphometric study of ageing in 465 normal adult human brains.

    Catriona D. Good;Ingrid S. Johnsrude;John Ashburner;Richard N.A. Henson;Richard N.A. Henson

  • Dynamic causal modelling.

    Karl J. Friston;Lee M. Harrison;William D. Penny

  • A theory of cortical responses

    Karl Friston

  • Statistical Parametric Mapping: The Analysis of Functional Brain Images

    W Penny;K Friston;J Ashburner;S Kiebel

  • Spatial registration and normalization of images

    Karl. J. Friston;J. Ashburner;C. D. Frith;J.-B. Poline

  • Movement-related effects in fMRI time-series

    Karl J. Friston;Steven Williams;Robert Howard;Richard S. J. Frackowiak

  • Functional and effective connectivity: a review.

    Karl J. Friston

  • Psychophysiological and modulatory interactions in neuroimaging.

    K. J. Friston;C. Buechel;G. R. Fink;J. Morris

  • A unified statistical approach for determining significant signals in images of cerebral activation.

    K. J. Worsley;S. Marrett;P. Neelin;A. C. Vandal

  • Functional and effective connectivity in neuroimaging: A synthesis

    Karl J. Friston

  • Analysis of fMRI Time-Series Revisited

    Karl J. Friston;A. P. Holmes;J. B. Poline;P. J. Grasby

  • Canonical Microcircuits for Predictive Coding

    Andre M. Bastos;William Martin Usrey;Rick A. Adams;George R Mangun

  • Analysis of fMRI time-series revisited--again.

    K.J. Worsley;K.J. Friston

  • Dissociable roles of ventral and dorsal striatum in instrumental conditioning

    John O'Doherty;Peter Dayan;Johannes Schultz;Ralf Deichmann

  • Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets

    K. J. Friston;C. D. Frith;P. F. Liddle;R. S. J. Frackowiak

  • Event-Related fMRI: Characterizing Differential Responses

    Karl J. Friston;P. Fletcher;Oliver Josephs;A. Holmes

  • Nonlinear spatial normalization using basis functions

    John Ashburner;Karl J. Friston

  • Assessing the significance of focal activations using their spatial extent

    K. J. Friston;K. J. Worsley;R. S. J. Frackowiak;J. C. Mazziotta

Frequent Co-Authors

Klaas E. Stephan
Klaas E. Stephan University of Zurich
Raymond J. Dolan
Raymond J. Dolan University College London
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Adeel Razi
Adeel Razi Monash University
John Ashburner
John Ashburner University College London
Rosalyn J. Moran
Rosalyn J. Moran King's College London
Cathy J. Price
Cathy J. Price University College London
William D. Penny
William D. Penny University of East Anglia
Richard S. J. Frackowiak
Richard S. J. Frackowiak École Polytechnique Fédérale de Lausanne

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