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Neuroscience

D-Index
74
Citations
23468
World Ranking
2079
National Ranking
116

Overview

Jörn Diedrichsen is affiliated with the University of Western Ontario in Canada and specializes in the field of neuroscience. With a research portfolio encompassing 154 publications, their work focuses on several interconnected domains within neuroscience.

Their primary fields of study include:

  • Neuroscience

Key subfields of study investigated by Jörn Diedrichsen are:

  • Cognitive Neuroscience
  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Social Psychology

Among the main topics of Jörn Diedrichsen's research are:

  • Motor Control and Adaptation
  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Muscle activation and electromyography studies
  • Action Observation and Synchronization

Jörn Diedrichsen has contributed to multiple frequent publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neurophysiology
  • eLife
  • Journal of Neuroscience
  • NeuroImage

Recent papers authored or co-authored by Jörn Diedrichsen highlight various aspects of brain function and motor control. Examples include:

  • The human cerebellum has almost 80% of the surface area of the neocortex (2020), Proceedings of the National Academy of Sciences
  • A critical re-evaluation of fMRI signatures of motor sequence learning (2020), eLife
  • CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation (2022), NeuroImage
  • Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke (2020), Brain Communications
  • The Planning Horizon for Movement Sequences (2021), eNeuro

The scientist collaborates frequently with a number of peers, including:

  • J. Andrew Pruszynski
  • Giacomo Ariani
  • Mahdiyar Shahbazi
  • Ladan Shahshahani
  • Mehrdad Kashefi

Best Publications

  • Principles of sensorimotor learning.

    Daniel M. Wolpert;Jörn Diedrichsen;J. Randall Flanagan

  • A probabilistic MR atlas of the human cerebellum

    Jörn Diedrichsen;Joshua H. Balsters;Jonathan Flavell;Emma Cussans

  • A spatially unbiased atlas template of the human cerebellum.

    Jörn Diedrichsen

  • Sensory Prediction Errors Drive Cerebellum-Dependent Adaptation of Reaching

    Ya-weng Tseng;Joern Diedrichsen;John W Krakauer;Reza Shadmehr

  • Neural Correlates of Reach Errors

    Jörn Diedrichsen;Yasmin Hashambhoy;Tushar Rane;Reza Shadmehr

  • The coordination of movement: optimal feedback control and beyond

    Jörn Diedrichsen;Jörn Diedrichsen;Reza Shadmehr;Richard B. Ivry

  • Functional boundaries in the human cerebellum revealed by a multi-domain task battery

    Maedbh King;Carlos R. Hernandez-Castillo;Russell A. Poldrack;Richard B. Ivry

  • Reliability of dissimilarity measures for multi-voxel pattern analysis.

    Alexander Walther;Alexander Walther;Hamed Nili;Naveed Ejaz;Arjen Alink

  • The cerebellum and event timing.

    Richard B. Ivry;Richard B. Ivry;Rebecca M. Spencer;Howard N. Zelaznik;Jörn Diedrichsen

  • Disrupted timing of discontinuous but not continuous movements by cerebellar lesions

    Rebecca M. C. Spencer;Rebecca M. C. Spencer;Howard N. Zelaznik;Howard N. Zelaznik;Jörn Diedrichsen;Jörn Diedrichsen;Richard B. Ivry;Richard B. Ivry

  • Ipsilateral Motor Cortex Activity During Unimanual Hand Movements Relates to Task Complexity

    Timothy D. Verstynen;Jörn Diedrichsen;Neil Albert;Paul Aparicio

  • Use-Dependent and Error-Based Learning of Motor Behaviors

    Jörn Diedrichsen;Olivier White;Darren Newman;Níall Lally

  • Imaging the deep cerebellar nuclei: a probabilistic atlas and normalization procedure.

    Jörn Diedrichsen;Jörn Diedrichsen;Stefan Maderwald;Stefan Maderwald;Michael Küper;Markus Thürling;Markus Thürling

  • The dissociable effects of punishment and reward on motor learning

    Joseph M Galea;Elizabeth Mallia;John Rothwell;Jörn Diedrichsen

  • Surface-Based Display of Volume-Averaged Cerebellar Imaging Data.

    Jörn Diedrichsen;Ewa Zotow

  • Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis.

    Jörn Diedrichsen;Nikolaus Kriegeskorte

  • Detecting and adjusting for artifacts in fMRI time series data.

    Jörn Diedrichsen;Reza Shadmehr

  • Skill learning strengthens cortical representations of motor sequences

    Tobias Wiestler;Jörn Diedrichsen

  • Optimal task-dependent changes of bimanual feedback control and adaptation.

    Jörn Diedrichsen

  • Motor skill learning between selection and execution

    Jörn Diedrichsen;Katja Kornysheva

  • Reach Adaptation: What Determines Whether We Learn an Internal Model of the Tool or Adapt the Model of Our Arm?

    Jo Ann Kluzik;Jörn Diedrichsen;Reza Shadmehr;Amy J. Bastian

Frequent Co-Authors

Richard B. Ivry
Richard B. Ivry University of California, Berkeley
John W. Krakauer
John W. Krakauer Johns Hopkins University
Timothy Verstynen
Timothy Verstynen Carnegie Mellon University
Nikolaus Kriegeskorte
Nikolaus Kriegeskorte Columbia University
Pablo Celnik
Pablo Celnik Johns Hopkins University
Dagmar Timmann
Dagmar Timmann University of Duisburg-Essen
Eliot Hazeltine
Eliot Hazeltine University of Iowa
Reza Shadmehr
Reza Shadmehr Johns Hopkins University
Andreia V. Faria
Andreia V. Faria Johns Hopkins University School of Medicine
Rebecca M. C. Spencer
Rebecca M. C. Spencer University of Massachusetts Amherst

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