Nicolas Schweighofer

Nicolas Schweighofer

University of Southern California

H-index: 48

North America-United States

About Nicolas Schweighofer

Nicolas Schweighofer, With an exceptional h-index of 48 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Southern California, specializes in the field of Computational Neuroscience, Neurorehabilitation, Motor Control and Learning, Statistical Learning.

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

Force Reserve Predicts Compensation in Reaching Movement with Induced Shoulder Strength Deficit

Initial development of skill with a reversed bicycle and a case series of experienced riders

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks

NSF DARE—Transforming modeling in neurorehabilitation: Four threads for catalyzing progress

Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke

Essential Role of Social Context and Self-Efficacy in Daily Paretic Arm/Hand Use After Stroke: An Ecological Momentary Assessment Study With Accelerometry

Speed-dependent biomechanical changes vary across individual gait metrics post-stroke relative to neurotypical adults

Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance

Nicolas Schweighofer Information

University

Position

Associate Professor

Citations(all)

6968

Citations(since 2020)

2733

Cited By

5466

hIndex(all)

48

hIndex(since 2020)

30

i10Index(all)

91

i10Index(since 2020)

76

Email

University Profile Page

University of Southern California

Google Scholar

View Google Scholar Profile

Nicolas Schweighofer Skills & Research Interests

Computational Neuroscience

Neurorehabilitation

Motor Control and Learning

Statistical Learning

Top articles of Nicolas Schweighofer

Title

Journal

Author(s)

Publication Date

Force Reserve Predicts Compensation in Reaching Movement with Induced Shoulder Strength Deficit

bioRxiv

Germain Faity

Victor R Barradas

Nicolas Schweighofer

Denis Mottet

2024

Initial development of skill with a reversed bicycle and a case series of experienced riders

Scientific Reports

Justine Magnard

Timothy Macaulay

Todd Schroeder

Christopher Laine

James Gordon

...

2024

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks

Neural Networks

Victor R Barradas

Yasuharu Koike

Nicolas Schweighofer

2024/2/1

NSF DARE—Transforming modeling in neurorehabilitation: Four threads for catalyzing progress

Joshua GA Cashaback

Jessica L Allen

Amber Hsiao-Yang Chou

David J Lin

Mark A Price

...

2024/2/13

Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke

Neurology

Sook-Lei Liew

Nicolas Schweighofer

James H Cole

Artemis Zavaliangos-Petropulu

Bethany P Lo

...

2023/5/16

Essential Role of Social Context and Self-Efficacy in Daily Paretic Arm/Hand Use After Stroke: An Ecological Momentary Assessment Study With Accelerometry

Archives of Physical Medicine and Rehabilitation

Yi-An Chen

Rebecca Lewthwaite

Nicolas Schweighofer

John R Monterosso

Beth E Fisher

...

2023/3/1

Speed-dependent biomechanical changes vary across individual gait metrics post-stroke relative to neurotypical adults

Journal of NeuroEngineering and Rehabilitation

Sarah A Kettlety

James M Finley

Darcy S Reisman

Nicolas Schweighofer

Kristan A Leech

2023/1/27

Reinforcement learning establishes a minimal metacognitive process to monitor and control motor learning performance

Nature Communications

Taisei Sugiyama

Nicolas Schweighofer

Jun Izawa

2023/7/8

Multi-Site Identification and Generalization of Clusters of Walking Behaviors in Individuals With Chronic Stroke and Neurotypical Controls

Neurorehabilitation and Neural Repair

Natalia Sanchez

Nicolas Schweighofer

Mulroy Sara

Ryan T Roemmich

Trisha M. Kesar

...

2023

Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model

Journal of NeuroEngineering and Rehabilitation

Nicolas Schweighofer

Dongze Ye

Haipeng Luo

David Z D’Argenio

Carolee Winstein

2023/6/29

Adaptive control is reversed between hands after left hemisphere stroke and lost following right hemisphere stroke

Proceedings of the National Academy of Sciences

R Varghese

J Gordon

RL Sainburg

CJ Winstein

N Schweighofer

2023

Gait speed and individual characteristics are related to specific gait metrics in neurotypical adults

Scientific Reports

Maryana Bonilla Yanez

Sarah A Kettlety

James M Finley

Nicolas Schweighofer

Kristan A Leech

2023/5/18

The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain–behavior relationships after stroke

Sook‐Lei Liew

Artemis Zavaliangos‐Petropulu

Neda Jahanshad

Catherine E Lang

Kathryn S Hayward

...

2022/1

Corpus Callosal Microstructure Predicts Bimanual Motor Performance in Chronic Stroke Survivors: a Preliminary Cross-Sectional Study

Topics in Stroke Rehabilitation

Rini Varghese

Brianna Chang

Bokkyu Kim

Sook-Lei Liew

Nicolas Schweighofer

...

2023/8/18

Virtuous and Vicious Cycles of Arm Use and Function Post-stroke

Frontiers in Neurology

Belen R. Ballester

Carolee Winstein

Nicolas Schweighofer

2022

Chronic stroke sensorimotor impairment is related to smaller hippocampal volumes: An ENIGMA analysis

Journal of the American Heart Association

Artemis Zavaliangos‐Petropulu

Bethany Lo

Miranda R Donnelly

Nicolas Schweighofer

Keith Lohse

...

2022/5/17

Effort, success, and side of lesion determine arm choice in individuals with chronic stroke

Journal of Neurophysiology

Sujin Kim

Cheol E Han

Bokkyu Kim

Carolee J Winstein

Nicolas Schweighofer

2022/1/1

Corticospinal tract lesion load originating from both ventral premotor and primary motor cortices are associated with post-stroke motor severity

Neurorehabilitation and neural repair

Kaori L Ito

Bokkyu Kim

Jingchun Liu

Surjo R Soekadar

Carolee Winstein

...

2022/3

Computational Neurorehabilitation

Nicolas Schweighofer

2022

Design of an Isometric End-Point Force Control Task for Electromyography Normalization and Muscle Synergy Extraction From the Upper Limb Without Maximum Voluntary Contraction

Frontiers in Human Neuroscience

Woorim Cho

Victor R Barradas

Nicolas Schweighofer

Yasuharu Koike

2022

See List of Professors in Nicolas Schweighofer University(University of Southern California)

Co-Authors

H-index: 97
Michael Arbib

Michael Arbib

University of Southern California

H-index: 93
Steven Wolf

Steven Wolf

Emory University

H-index: 77
David Reinkensmeyer

David Reinkensmeyer

University of California, Irvine

H-index: 72
Carolee J. Winstein

Carolee J. Winstein

University of Southern California

H-index: 37
Yasuharu Koike

Yasuharu Koike

Tokyo Institute of Technology

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