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Neuroscience

D-Index
110
Citations
71810
World Ranking
536
National Ranking
308

Research.com Recognitions

  • 2012 - Fellow of the Royal Society, United Kingdom
  • 2010 - Golden Brain Award, Minerva Foundation

Overview

Daniel M. Wolpert is affiliated with Columbia University in the United States. Their work spans multiple disciplines within neuroscience and psychology, focusing extensively on motor control and adaptation as well as neural and behavioral psychology studies.

Their research covers a variety of topics, including:

  • Motor Control and Adaptation
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Muscle activation and electromyography studies
  • Action Observation and Synchronization
  • Visual perception and processing mechanisms
  • Children's Physical and Motor Development

Daniel M. Wolpert has contributed significantly to the fields of neuroscience with 66 publications and psychology with 23 publications. Their subfields of study indicate a strong emphasis on cognitive neuroscience, complemented by work in developmental and educational psychology, biomedical engineering, social psychology, and control and systems engineering.

The following recent papers illustrate the diversity of their research interests and collaborations:

  • "Contextual inference in learning and memory," 2022, Trends in Cognitive Sciences
  • "The Computational and Neural Bases of Context-Dependent Learning," 2023, Annual Review of Neuroscience
  • "Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation," 2021, eLife
  • "Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control," 2020, Neural Computation
  • "Contextual inference underlies the learning of sensorimotor repertoires," 2020, bioRxiv (Cold Spring Harbor Laboratory)

Their frequent co-authors include:

  • J. Randall Flanagan
  • Michael N. Shadlen
  • Ariel Zylberberg
  • James N. Ingram
  • Máté Lengyel

The majority of their publications appear in prominent venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Journal of Neurophysiology
  • PLoS Computational Biology
  • PLoS ONE

Awards received by Daniel M. Wolpert include:

  • Fellow of the Royal Society, United Kingdom, 2012
  • Golden Brain Award, Minerva Foundation, 2010

Best Publications

  • An Internal Model for Sensorimotor Integration

    Daniel M. Wolpert;Zoubin Ghahramani;Michael I. Jordan

  • Noise in the nervous system.

    A. Aldo Faisal;Luc P. J. Selen;Daniel M. Wolpert

  • Signal-dependent noise determines motor planning

    Christopher M. Harris;Daniel M. Wolpert

  • Internal models in the cerebellum

    Daniel M Wolpert;R.Chris Miall;Mitsuo Kawato

  • Forward models for physiological motor control

    R. C. Miall;D. M. Wolpert

  • Multiple paired forward and inverse models for motor control

    D. M. Wolpert;M. Kawato

  • Computational principles of movement neuroscience

    Daniel M. Wolpert;Zoubin Ghahramani

  • Bayesian integration in sensorimotor learning

    Konrad P. Körding;Daniel M. Wolpert

  • Central cancellation of self-produced tickle sensation.

    Sarah-J. Blakemore;Daniel M. Wolpert;Chris D. Frith

  • Principles of sensorimotor learning.

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

  • Abnormalities in the awareness and control of action.

    Christopher D. Frith;Sarah-Jayne Blakemore;Daniel M. Wolpert

  • A unifying computational framework for motor control and social interaction

    Daniel M. Wolpert;Kenji Doya;Mitsuo Kawato

  • Is the cerebellum a smith predictor

    R. C. Miall;D. J. Weir;D. M. Wolpert;J. F. Stein

  • Why can't you tickle yourself?

    Sarah-Jayne Blakemore;Daniel Wolpert;Chris Frith

  • Motor prediction

    Unknown

  • Abnormalities in the awareness of action

    Sarah Jayne Blakemore;Daniel M. Wolpert;Christopher D. Frith

  • Computational approaches to motor control.

    Daniel M. Wolpert

  • Bayesian decision theory in sensorimotor control.

    Konrad P. Körding;Daniel M. Wolpert

  • Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli

    Sarah-J. Blakemore;Chris D. Frith;Daniel M. Wolpert

  • Perspectives and problems in motor learning

    Daniel M. Wolpert;Zoubin Ghahramani;J. Randall Flanagan

  • Explaining the symptoms of schizophrenia: abnormalities in the awareness of action.

    Chris D Frith;Sarah-Jayne Blakemore;Daniel M Wolpert

Frequent Co-Authors

J. Randall Flanagan
J. Randall Flanagan Queen's University
Chris D. Frith
Chris D. Frith University College London
Michael N. Shadlen
Michael N. Shadlen Columbia University
Paul M. Bays
Paul M. Bays University of Cambridge
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Konrad P. Kording
Konrad P. Kording University of Pennsylvania
Jason P. Gallivan
Jason P. Gallivan Queen's University
James B. Rowe
James B. Rowe University of Cambridge
Patrick Haggard
Patrick Haggard University College London
Antonia F. de C. Hamilton
Antonia F. de C. Hamilton University College London

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