Daniel Wolpert

Daniel Wolpert

Columbia University in the City of New York

H-index: 108

North America-United States

About Daniel Wolpert

Daniel Wolpert, With an exceptional h-index of 108 and a recent h-index of 69 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Neuroscience, Computational Neuroscience, motor control, motor learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience

Exploration biases forelimb reaching strategies

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Fast Feedback Responses to Categorical Sensorimotor Errors That Do Not Indicate Error Magnitude Are Optimized Based on Short-and Long-Term Memory

Contextual inference in learning and memory

Ouvrai: Opening access to remote VR studies of human behavioral neuroscience

Judging the difficulty of perceptual decisions

Spatial uncertainty and environmental geometry in navigation

Daniel Wolpert Information

University

Position

Professor of Neuroscience

Citations(all)

67988

Citations(since 2020)

20812

Cited By

55747

hIndex(all)

108

hIndex(since 2020)

69

i10Index(all)

214

i10Index(since 2020)

179

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Daniel Wolpert Skills & Research Interests

Neuroscience

Computational Neuroscience

motor control

motor learning

Top articles of Daniel Wolpert

Title

Journal

Author(s)

Publication Date

Ouvrai opens access to remote virtual reality studies of human behavioural neuroscience

Nature Human Behaviour

Evan Cesanek

Sabyasachi Shivkumar

James N Ingram

Daniel M Wolpert

2024/4/26

Exploration biases forelimb reaching strategies

Cell Reports

Alice C Mosberger

Leslie J Sibener

Tiffany X Chen

Helio FM Rodrigues

Richard Hormigo

...

2024/4/23

Memory, perceptual, and motor costs affect the strength of categorical encoding during motor learning of object properties

Scientific Reports

Evan Cesanek

J Randall Flanagan

Daniel M Wolpert

2023/5/27

Fast Feedback Responses to Categorical Sensorimotor Errors That Do Not Indicate Error Magnitude Are Optimized Based on Short-and Long-Term Memory

Journal of Neuroscience

Michael R McGarity-Shipley

Simona Markovik Jantz

Roland S Johansson

Daniel M Wolpert

J Randall Flanagan

2023/12/6

Contextual inference in learning and memory

Trends in Cognitive Sciences

James B Heald

Máté Lengyel

Daniel M Wolpert

2023

Ouvrai: Opening access to remote VR studies of human behavioral neuroscience

bioRxiv

Evan Cesanek

Sabyasachi Shivkumar

James N Ingram

Daniel M Wolpert

2023/5/24

Judging the difficulty of perceptual decisions

eLife

Anne Löffler

Ariel Zylberberg

Michael N Shadlen

Daniel M Wolpert

2023/11/17

Spatial uncertainty and environmental geometry in navigation

bioRxiv

Yul HR Kang

Daniel M Wolpert

Máté Lengyel

2023/2/1

Interaction between decision-making and motor learning when selecting reach targets in the presence of bias and noise

PLOS Computational Biology

Tianyao Zhu

Jason P Gallivan

Daniel M Wolpert

J Randall Flanagan

2023/11/2

Object weight can be rapidly predicted, with low cognitive load, by exploiting learned associations between the weights and locations of objects

Journal of Neurophysiology

Zhaoran Zhang

Evan Cesanek

James N Ingram

J Randall Flanagan

Daniel M Wolpert

2023/2/1

The computational and neural bases of context-dependent learning

James B Heald

Daniel M Wolpert

Máté Lengyel

2023/7/10

Here, there, but not everyhwere: multimodal beliefs captured by a population code during navigation

Thomas Durrant

Yul Hyoung Ryul Kang

Daniel M Wolpert

Mate Lengyel

2023

A novel video game for remote studies of motor adaptation in children

Physiological Reports

Laura A Malone

Nayo M Hill

Haley Tripp

Daniel M Wolpert

Amy J Bastian

2023/7

Exploration biases how forelimb reaches to a spatial target are learned

bioRxiv

Alice C Mosberger

Leslie J Sibener

Tiffany X Chen

Helio FM Rodrigues

Richard Hormigo

...

2023

Reach adaption to a visuomotor gain with terminal error feedback involves reinforcement learning

Plos one

Tsuyoshi Ikegami

J Randall Flanagan

Daniel M Wolpert

2022/6/1

Direct observation of the neural computations underlying a single decision

bioRxiv

Natalie A Steinemann

Gabriel M Stine

Eric M Trautmann

Ariel Zylberberg

Daniel M Wolpert

...

2022/5/4

Multiple decisions about one object involve parallel sensory acquisition but time-multiplexed evidence incorporation

Elife

Yul HR Kang

Anne Löffler

Danique Jeurissen

Ariel Zylberberg

Daniel M Wolpert

...

2021/3/10

Spatial uncertainty provides a unifying account of navigation behavior and grid field deformations

Yul Hyoung Ryul Kang

Daniel M Wolpert

Máté Lengyel

2021

Contextual inference underlies the learning of sensorimotor repertoires

Nature

James B Heald

Máté Lengyel

Daniel M Wolpert

2021/12/16

Motor memories of object dynamics are categorically organized

Elife

Evan Cesanek

Zhaoran Zhang

James N Ingram

Daniel M Wolpert

J Randall Flanagan

2021/11/19

See List of Professors in Daniel Wolpert University(Columbia University in the City of New York)

Co-Authors

H-index: 236
Chris Frith

Chris Frith

University College London

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 124
Zoubin Ghahramani

Zoubin Ghahramani

University of Cambridge

H-index: 116
Patrick Haggard

Patrick Haggard

University College London

H-index: 100
Sarah-Jayne Blakemore

Sarah-Jayne Blakemore

University of Cambridge

H-index: 75
Chris Miall

Chris Miall

University of Birmingham

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