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Neuroscience

D-Index
50
Citations
7826
World Ranking
5804
National Ranking
2554

Overview

Nicolas Schweighofer is a researcher affiliated with the University of Southern California in the United States. Their work spans several fields with a primary focus on Medicine and Neuroscience. Within these broad domains, their research particularly concentrates on Cognitive Neuroscience, Rehabilitation, and Biomedical Engineering, alongside topics in Physical Therapy, Sports Therapy, Rehabilitation, and Epidemiology.

The main research topics explored by Schweighofer include:

  • Stroke Rehabilitation and Recovery
  • Motor Control and Adaptation
  • Muscle activation and electromyography studies
  • Balance, Gait, and Falls Prevention
  • Acute Ischemic Stroke Management
  • Cerebral Palsy and Movement Disorders
  • EEG and Brain-Computer Interfaces

Schweighofer's research has appeared regularly in several scientific journals. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of NeuroEngineering and Rehabilitation
  • Journal of Neurophysiology
  • Neurorehabilitation and Neural Repair
  • Frontiers in Aging Neuroscience

Notable recent papers authored or co-authored by Schweighofer demonstrate a focus on brain function, stroke recovery, and motor control. Some of these include:

  • "The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke," 2020, Human Brain Mapping
  • "Increased cognitive load in immersive virtual reality during visuomotor adaptation is associated with decreased long-term retention and context transfer," 2022, Journal of NeuroEngineering and Rehabilitation
  • "Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke," 2023, Neurology
  • "When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance," 2020, Journal of Neurophysiology
  • "Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision," 2021, PLoS Computational Biology

Frequent collaborators in their research include Carolee J. Winstein, Sook-Lei Liew, James M. Finley, Steven C. Cramer, and Michael R. Borich. The collaboration network indicates an emphasis on multidisciplinary approaches within neuroscience and rehabilitation research.

Best Publications

  • Reward improves long-term retention of a motor memory through induction of offline memory gains

    Mitsunari Abe;Heidi Schambra;Eric M. Wassermann;Dave Luckenbaugh

  • Low-serotonin levels increase delayed reward discounting in humans

    Nicolas Schweighofer;Mathieu Bertin;Kazuhiro Shishida;Yasumasa Okamoto

  • Meta-learning in reinforcement learning

    Nicolas Schweighofer;Kenji Doya

  • Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control

    Nicolas Schweighofer;Michael A. Arbib;Mitsuo Kawato

  • Motor Learning Without Doing: Trial-by-Trial Improvement in Motor Performance During Mental Training

    Rodolphe J Gentili;Rodolphe J Gentili;Rodolphe J Gentili;Cheol E Han;Nicolas Schweighofer;Charalambos Papaxanthis;Charalambos Papaxanthis

  • Dual Adaptation Supports a Parallel Architecture of Motor Memory

    Jeong-Yoon Lee;Nicolas Schweighofer

  • Serotonin Differentially Regulates Short- and Long-Term Prediction of Rewards in the Ventral and Dorsal Striatum

    Saori C. Tanaka;Nicolas Schweighofer;Shuji Asahi;Kazuhiro Shishida

  • Computational neurorehabilitation: modeling plasticity and learning to predict recovery.

    David J. Reinkensmeyer;Etienne Burdet;Maura Casadio;John W. Krakauer

  • Stroke rehabilitation reaches a threshold.

    Cheol E. Han;Michael A. Arbib;Nicolas Schweighofer

  • Role of the cerebellum in reaching movements in humans. II. A neural model of the intermediate cerebellum.

    Nicolas Schweighofer;Jacob Spoelstra;Michael A. Arbib;Mitsuo Kawato

  • Cerebellar aminergic neuromodulation: towards a functional understanding

    Nicolas Schweighofer;Kenji Doya;Shinya Kuroda

  • Electrophysiological Properties of Inferior Olive Neurons: A Compartmental Model

    Nicolas Schweighofer;Kenji Doya;Mitsuo Kawato

  • Chaos may enhance information transmission in the inferior olive

    Nicolas Schweighofer;Kenji Doya;Hidekazu Fukai;Jean Vianney Chiron

  • Unsupervised learning of granule cell sparse codes enhances cerebellar adaptive control.

    N. Schweighofer;K. Doya;F. Lay

  • A functional threshold for long-term use of hand and arm function can be determined: Predictions from a computational model and supporting data from the extremity constraint-induced therapy evaluation (EXCITE) trial

    Nicolas Schweighofer;Cheol E. Han;Steven L. Wolf;Michael A. Arbib

  • Computational motor control in humans and robots.

    Stefan Schaal;Nicolas Schweighofer

  • Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation.

    Shinya Kuroda;Nicolas Schweighofer;Mitsuo Kawato

  • The Roles of the Olivocerebellar Pathway in Motor Learning and Motor Control. A consensus paper

    Eric J Lang;Richard Apps;Fredrik Bengtsson;Nadia L Cerminara

  • A model of the cerebellum in adaptive control of saccadic gain

    Nicolas Schweighofer;Michael A. Arbib;Peter F. Dominey

  • Neural Substrates Related to Motor Memory with Multiple Timescales in Sensorimotor Adaptation.

    Sungshin Kim;Kenji Ogawa;Jinchi Lv;Nicolas Schweighofer

  • Humans Can Adopt Optimal Discounting Strategy under Real-Time Constraints

    Nicolas Schweighofer;K. Shishida;Cheol E. Han;Yasumasa Okamoto

  • Motor Learning without Doing: Trial-by-Trial Improvement in Motor

    Rodolphe Gentili;Cheol E Han;Nicolas Schweighofer;Charalambos Papaxanthis

Frequent Co-Authors

Carolee J. Winstein
Carolee J. Winstein University of Southern California
Mitsuo Kawato
Mitsuo Kawato Advanced Telecommunications Research Institute International
Kenji Doya
Kenji Doya Okinawa Institute of Science and Technology
Michael A. Arbib
Michael A. Arbib University of Southern California
Steven A. Kautz
Steven A. Kautz Medical University of South Carolina
Eric J. Lang
Eric J. Lang New York University
Lars T. Westlye
Lars T. Westlye University of Oslo
George F. Wittenberg
George F. Wittenberg University of Pittsburgh
Bradley J. MacIntosh
Bradley J. MacIntosh Sunnybrook Health Science Centre
Shigeto Yamawaki
Shigeto Yamawaki Hiroshima University

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