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Neuroscience

D-Index
49
Citations
13524
World Ranking
5879
National Ranking
476

Overview

Rafal Bogacz is affiliated with the University of Oxford in the United Kingdom, contributing extensively to the field of neuroscience. Their research primarily focuses on neural dynamics, brain function, and neurological disorders, with a strong emphasis on cognitive neuroscience and cellular and molecular neuroscience. They also address topics in artificial intelligence and electrical and electronic engineering within the broader neuroscience context.

The main fields of study explored by Rafal Bogacz include:

  • Neuroscience

Subfields of study encompass:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Neurology
  • Artificial Intelligence
  • Electrical and Electronic Engineering

The scientist's work covers a variety of main topics such as:

  • Neural dynamics and brain function
  • Neurological disorders and treatments
  • Neuroscience and Neural Engineering
  • Neural and Behavioral Psychology Studies
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neurotransmitter Receptor Influence on Behavior

Frequent publication venues for Rafal Bogacz include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Nature Communications
  • Journal of Neural Engineering

Notable recent papers authored or co-authored by Rafal Bogacz illustrate the range and impact of their scientific contributions:

  • "Neural signatures of hyperdirect pathway activity in Parkinson's disease" (2021), published in Nature Communications
  • "Dopamine role in learning and action inference" (2020), published in eLife
  • "Inferring neural activity before plasticity as a foundation for learning beyond backpropagation" (2024), published in Nature Neuroscience
  • "A Normative Account of Confirmation Bias During Reinforcement Learning" (2021), published in Neural Computation
  • "Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson's disease" (2021), published in PLoS Computational Biology

Collaboration with frequent co-authors has been a notable aspect of their work, with repeated partnerships with:

  • Yuhang Song
  • Beren Millidge
  • Tommaso Salvatori
  • Thomas Lukasiewicz
  • Benoit Duchet

Best Publications

  • The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks.

    Rafal Bogacz;Eric Brown;Jeff Moehlis;Philip Holmes

  • A deep learning framework for neuroscience

    Blake A Richards;Timothy P Lillicrap;Philippe Beaudoin;Yoshua Bengio;Yoshua Bengio

  • The neural basis of the speed–accuracy tradeoff

    Rafal Bogacz;Eric-Jan Wagenmakers;Birte U. Forstmann;Sander Nieuwenhuis

  • Optimal decision-making theories: linking neurobiology with behaviour

    Rafal Bogacz

  • The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions

    Rafal Bogacz;Kevin Gurney

  • Cortico-striatal connections predict control over speed and accuracy in perceptual decision making

    Birte U. Forstmann;Alfred Anwander;Andreas Schäfer;Jane Neumann

  • Theories of Error Back-Propagation in the Brain.

    James C.R. Whittington;Rafal Bogacz

  • A tutorial on the free-energy framework for modelling perception and learning.

    Rafal Bogacz

  • On optimal decision-making in brains and social insect colonies

    James A. R. Marshall;Rafal Bogacz;Anna Dornhaus;Robert Planqué

  • Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods

    Nick Yeung;Rafal Bogacz;Clay B. Holroyd;Jonathan D. Cohen;Jonathan D. Cohen

  • Conditions for the generation of beta oscillations in the subthalamic nucleus-globus pallidus network

    Alejo J Nevado Holgado;John R Terry;Rafal Bogacz

  • An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity.

    James C. R. Whittington;Rafal Bogacz

  • Do humans produce the speed–accuracy trade-off that maximizes reward rate?

    Rafal Bogacz;Peter T. Hu;Philip J. Holmes;Jonathan D. Cohen

  • Action initiation shapes mesolimbic dopamine encoding of future rewards

    Emilie C J Syed;Laura L Grima;Peter J Magill;Rafal Bogacz

  • Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice

    Rafal Bogacz;Marius Usher;Jiaxiang Zhang;James L. McClelland

  • Theta phase resetting and the error-related negativity

    Nick Yeung;Rafal Bogacz;Clay B. Holroyd;Sander Nieuwenhuis

  • Distinct Developmental Origins Manifest in the Specialized Encoding of Movement by Adult Neurons of the External Globus Pallidus

    Paul D. Dodson;Joseph T. Larvin;James M. Duffell;Farid N. Garas

  • Neural Correlates of Decision Thresholds in the Human Subthalamic Nucleus

    Damian M. Herz;Baltazar A. Zavala;Rafal Bogacz;Rafal Bogacz;Peter Brown;Peter Brown

  • Neural signatures of hyperdirect pathway activity in Parkinson's disease.

    Ashwini Oswal;Ashwini Oswal;Chunyan Cao;Chien-Hung Yeh;Chien-Hung Yeh;Wolf-Julian Neumann

  • Model of familiarity discrimination in the perirhinal cortex.

    Rafal Bogacz;Malcolm W. Brown;Christophe G. Giraud-Carrier

  • Computational models describing possible mechanisms for generation of excessive beta oscillations in Parkinson's disease

    Alexander Pavlides;John Hogan;Rafal Bogacz;Rafal Bogacz;Rafal Bogacz

  • Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems

    Pete C Trimmer;Alasdair I Houston;James A.R Marshall;Rafal Bogacz

Frequent Co-Authors

Malcolm W. Brown
Malcolm W. Brown University of Bristol
Peter Brown
Peter Brown University of Oxford
Jonathan D. Cohen
Jonathan D. Cohen Princeton University
Alexander L. Green
Alexander L. Green University of Oxford
Thomas Foltynie
Thomas Foltynie University College London
Patricia Limousin
Patricia Limousin University College London
Birte U. Forstmann
Birte U. Forstmann University of Amsterdam
Peter J. Magill
Peter J. Magill University of Oxford
John-Stuart Brittain
John-Stuart Brittain University of Birmingham
Nick Yeung
Nick Yeung University of Oxford

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