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Miguel A. L. Nicolelis

Miguel A. L. Nicolelis

D-Index & Metrics

Neuroscience

D-Index
99
Citations
40461
World Ranking
775
National Ranking
428

Research.com Recognitions

  • 2017 - IEEE Daniel E. Noble Award for Emerging Technologies "For seminal contributions to brain-machine interfaces."
  • 2010 - National Institutes of Health Director's Pioneer Award
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Miguel A. L. Nicolelis is affiliated with Duke University in the United States. Their research spans primarily the field of neuroscience, with a particular focus on cognitive neuroscience, cellular and molecular neuroscience, neurology, electrical and electronic engineering, and modeling and simulation.

The scientist has contributed extensively to several main research topics, including EEG and brain-computer interfaces, neuroscience and neural engineering, transcranial magnetic stimulation studies, neural dynamics and brain function, neurological disorders and treatments, advanced memory and neural computing, and COVID-19 epidemiological studies.

Recent publications by Miguel A. L. Nicolelis include the following papers:

  • The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil (2021, Scientific Reports)
  • How super-spreader cities, highways, hospital bed availability, and dengue fever influenced the COVID-19 epidemic in Brazil (2020, bioRxiv [Cold Spring Harbor Laboratory])
  • Training with noninvasive brain-machine interface, tactile feedback, and locomotion to enhance neurological recovery in individuals with complete paraplegia: a randomized pilot study (2022, Scientific Reports)

The scientist has collaborated frequently with several coauthors, including Howard Burton, Mikhail Lebedev, Amol P. Yadav, Rafael L. G. Raimundo, and Pedro S. Peixoto.

Publishing venues that commonly feature Miguel A. L. Nicolelis's work include:

  • Scientific Reports
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain Stimulation
  • Science Robotics
  • National Science Review

In addition to articles, Miguel A. L. Nicolelis has authored a book titled Minds and Machines, published in 2020 by Open Agenda Publishing eBooks.

Recognition for their scientific work includes several awards:

  • IEEE Daniel E. Noble Award for Emerging Technologies (2017) "For seminal contributions to brain-machine interfaces."
  • National Institutes of Health Director's Pioneer Award (2010)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2004)

Best Publications

  • Brain–machine interfaces: past, present and future

    Mikhail A. Lebedev;Miguel A. L. Nicolelis

  • Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates

    Jose M Carmena;Mikhail A Lebedev;Roy E Crist;Joseph E O'Doherty

  • Real-time prediction of hand trajectory by ensembles of cortical neurons in primates

    Johan Wessberg;Christopher R. Stambaugh;Jerald D. Kralik;Pamela D. Beck

  • Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

    John K. Chapin;Karen A. Moxon;Ronald S. Markowitz;Miguel A. L. Nicolelis

  • Actions from thoughts

    Miguel A. L. Nicolelis

  • Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors.

    Georgia M. Alexander;Sarah C. Rogan;Atheir I. Abbas;Blaine N. Armbruster

  • Chronic, multisite, multielectrode recordings in macaque monkeys

    Miguel A. L. Nicolelis;Dragan Dimitrov;Jose M. Carmena;Roy Crist

  • Brain-machine interfaces to restore motor function and probe neural circuits.

    Miguel A L Nicolelis

  • Active tactile exploration using a brain–machine–brain interface

    Joseph E. O’Doherty;Mikhail A. Lebedev;Peter J. Ifft;Katie Z. Zhuang

  • Sensorimotor encoding by synchronous neural ensemble activity at multiple levels of the somatosensory system

    Miguel A. L. Nicolelis;Luiz A. Baccala;Rick C. S. Lin;John K. Chapin

  • Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface

    Mikhail A. Lebedev;Jose M. Carmena;Joseph E. O'Doherty;Miriam Zacksenhouse

  • Spontaneous cortical activity in awake monkeys composed of neuronal avalanches.

    Thomas Petermann;Tara C. Thiagarajan;Mikhail A. Lebedev;Miguel A. L. Nicolelis

  • Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation

    Mikhail A. Lebedev;Miguel A. L. Nicolelis

  • Principles of neural ensemble physiology underlying the operation of brain–machine interfaces

    Miguel A. L. Nicolelis;Miguel A. L. Nicolelis;Mikhail A. Lebedev

  • Food Reward in the Absence of Taste Receptor Signaling

    Ivan E. de Araujo;Albino J. Oliveira-Maia;Albino J. Oliveira-Maia;Tatyana D. Sotnikova;Raul R. Gainetdinov

  • Reconstructing the Engram: Simultaneous, Multisite, Many Single Neuron Recordings

    Miguel A.L Nicolelis;Asif A Ghazanfar;Barbara M Faggin;Scott Votaw

  • Controlling Robots with the Mind

    Miguel A. L. Nicolelis;John K. Chapin

  • Differential Corticostriatal Plasticity during Fast and Slow Motor Skill Learning in Mice

    Rui M. Costa;Dana Cohen;Miguel A.L. Nicolelis

  • Long-Term Training with a Brain-Machine Interface-Based Gait Protocol Induces Partial Neurological Recovery in Paraplegic Patients

    Ana R. C. Donati;Solaiman Shokur;Edgard Morya;Debora S. F. Campos

  • Interval timing and the encoding of signal duration by ensembles of cortical and striatal neurons.

    Matthew S. Matell;Warren H. Meck;Miguel A. L. Nicolelis

  • The neural mechanisms of gustation: a distributed processing code

    Sidney A. Simon;Ivan E. de Araujo;Ranier Gutierrez;Miguel A. L. Nicolelis

Frequent Co-Authors

Mikhail A. Lebedev
Mikhail A. Lebedev Moscow State University
Sidarta Ribeiro
Sidarta Ribeiro Federal University of Rio Grande do Norte
John K. Chapin
John K. Chapin State University of New York
Jose M. Carmena
Jose M. Carmena University of California, Berkeley
Johan Wessberg
Johan Wessberg University of Gothenburg
Rick C.S. Lin
Rick C.S. Lin University of Mississippi Medical Center
Hannes Bleuler
Hannes Bleuler École Polytechnique Fédérale de Lausanne
Asif A. Ghazanfar
Asif A. Ghazanfar Princeton University
Donald B. Katz
Donald B. Katz Brandeis University
Dennis A. Turner
Dennis A. Turner Duke University

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