Miguel A. L. Nicolelis

Cognitive Neuroscience · 2000–2017

A researcher in the Science corpus: 14 papers; trusts 69 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 181 citations into it; #849 of 10,852 by trust here, #588 by citations
• Cellular and Molecular Neuroscience — 119 citations into it; #176 of 2,998 by trust here, #123 by citations
• Biomedical Engineering — 37 citations into it; #8,155 of 10,734 by trust here, #4,640 by citations
• Electrical and Electronic Engineering — 35 citations into it
• Social Psychology — 13 citations into it
• Molecular Biology — 10 citations into it
• Human-Computer Interaction — 9 citations into it
• Neuroscience — 9 citations into it

Whom Miguel A. L. Nicolelis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mikhail A. Lebedev
2. Jonathan R. Wolpaw
3. Jose M. Carmena
4. John P. Donoghue
5. Richard A. Andersen
6. Eric W. Sellers
7. Dennis J. McFarland
8. Niels Birbaumer
9. E. Todorov
10. Gerwin Schalk

Who trusts Miguel A. L. Nicolelis overall

1. Mikhail A. Lebedev
2. Niels Birbaumer
3. Lambros Malafouris
4. Jose M. Carmena
5. György Buzsáki
6. Xavier Navarro
7. Vadim S. Polikov
8. Wolfgang Klimesch
9. Joseph E. O’Doherty
10. John P. Donoghue

Papers from Miguel A. L. Nicolelis's perspective

Ordered by how strongly the researchers Miguel A. L. Nicolelis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neuronal ensemble control of prosthetic devices by a human with tetraplegia (Nature)
2. Cortical control of a prosthetic arm for self-feeding (Nature)
3. Cognitive Control Signals for Neural Prosthetics (Science)
4. Brain-computer communication: unlocking the locked in. (Psychological bulletin)
5. Direct Cortical Control of 3D Neuroprosthetic Devices (Science)
6. Physiological self-regulation of regional brain activity using real-time functional magnetic resonance imaging (fMRI): methodology and exemplary data (NeuroImage)
7. Connecting cortex to machines: recent advances in brain interfaces (Nature Neuroscience)
8. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
9. Chronic, multisite, multielectrode recordings in macaque monkeys (Proceedings of the National Academy of Sciences of the United States of America)
10. Brain-computer interface technology: a review of the first international meeting. (IEEE transactions on rehabilitation engineering)

Their papers

• Brain-machine interfaces: past, present and future. (2006) — 1,874 citations
• Remote control of neuronal activity in transgenic mice expressing evolved G protein-coupled receptors. (2009) — 944 citations
• Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017) — 563 citations
• Grand Challenges for Global Brain Sciences (2016)
• Chronic, Wireless Recordings of Large Scale Brain Activity in Freely Moving Rhesus Monkeys (2014) — 350 citations
• Principles of neural ensemble physiology underlying the operation of brain–machine interfaces (2009) — 437 citations
• Food reward in the absence of taste receptor signaling. (2008) — 613 citations
• Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface (2005) — 303 citations
• Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates (2003) — 1,850 citations
• Chronic, multisite, multielectrode recordings in macaque monkeys (2003) — 816 citations
• Brain–machine interfaces to restore motor function and probe neural circuits (2003) — 565 citations
• Thalamocortical optimization of tactile processing according to behavioral state* (2002) — 132 citations
• Actions from thoughts (2001) — 733 citations
• Cortical ensemble activity increasingly predicts behaviour outcomes during learning of a motor task (2000) — 286 citations