Neuroscience
Related papers: 20
About
Neuroscience is the scientific study of the nervous system — including the brain, spinal cord, and peripheral nerves — encompassing its structure, function, development, and disorders. In robotics and AI, neuroscience serves as both a source of inspiration and a foundation for direct integration: researchers draw on neural principles such as central pattern generators, motor cortex organization, and synaptic learning rules to design more capable control architectures, while clinical applications like brain-machine interfaces (BMIs) translate recorded neural signals directly into commands for prosthetic limbs, exoskeletons, and communication devices. Understanding how biological systems encode movement, adapt to dynamics, and recover from injury informs rehabilitation robotics, motor learning algorithms, and neuromorphic computing. Neuroscience also underpins embodied cognition frameworks that argue intelligence emerges from body-environment interaction, shaping humanoid robot design. As neural recording technologies scale to thousands of channels and stimulation techniques grow more precise, the boundary between biological and artificial neural systems continues to narrow, making neuroscience increasingly central to next-generation intelligent machines.
Top Researchers
Top Cited Papers
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
Leigh R. Hochberg, Mijail D. Serruya, Gerhard M. Friehs, Jon Mukand, Maryam Saleh, Abraham H. Caplan, Almut Branner, David Chen, Richard D. Penn, John P. Donoghue
Citations: 3324 • 2006
How the Body Shapes the Mind
Shaun Gallagher
Citations: 3049 • 2005
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Leigh R. Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y. Masse, John D. Simeral, Jörn Vogel, Sami Haddadin, Jie Liu, Sydney S. Cash, Patrick van der Smagt, John P. Donoghue
Citations: 2730 • 2012
Adaptive representation of dynamics during learning of a motor task
Reza Shadmehr, FA Mussa-Ivaldi
Citations: 2666 • 1994
Motor recovery after stroke: a systematic review
Peter Langhorne, Fiona Coupar, Alex Pollock
Citations: 2294 • 2009
Brain–machine interfaces: past, present and future
Mikhail Lebedev, Miguel A. L. Nicolelis
Citations: 1854 • 2006
Central pattern generators for locomotion control in animals and robots: A review
Auke Jan Ijspeert
Citations: 1839 • 2008
Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
Jose M. Carmena, Mikhail Lebedev, Roy E. Crist, Joseph E. O’Doherty, David M. Santucci, Dragan F. Dimitrov, Parag G. Patil, Craig S. Henriquez, Miguel A. L. Nicolelis
Citations: 1781 • 2003
Tactile Sensing—From Humans to Humanoids
Ravinder Dahiya, Giorgio Metta, Maurizio Valle, Giulio Sandini
Citations: 1777 • 2009
Cortical control of a prosthetic arm for self-feeding
Meel Velliste, Sagi Perel, M. Chance Spalding, Andrew Whitford, Andrew B. Schwartz
Citations: 1590 • 2008
A hierarchical neural-network model for control and learning of voluntary movement
Mitsuo Kawato, Kazunori Furukawa, Ryoji Suzuki
Citations: 1575 • 1987
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
Jonathan R. Wolpaw, Dennis J. McFarland
Citations: 1516 • 2004
Real-time prediction of hand trajectory by ensembles of cortical neurons in primates
Johan Wessberg, Christopher R. Stambaugh, Jerald D. Kralik, Pamela D. Beck, Mark Laubach, John K. Chapin, Jung Kim, Sean Biggs, Mandayam A. Srinivasan, Miguel A. L. Nicolelis
Citations: 1495 • 2000
Safety and recommendations for TMS use in healthy subjects and patient populations, with updates on training, ethical and regulatory issues: Expert Guidelines
Símone Rossi, Andrea Antal, Sven Bestmann, Marom Bikson, Carmen C. Brewer, Jürgen Brockmöller, Linda L. Carpenter, M. Cincotta, Robert Chen, Jeff Daskalakis, Vincenzo Di Lazzaro, Michael Fox, Mark S. George, Donald L. Gilbert, Vasilios Κ. Kimiskidis, Giacomo Koch, Risto J. Ilmoniemi, Jean Pascal Lefaucheur, Letizia Leocani, Sarah H. Lisanby, Carlo Miniussi, Frank Padberg, Álvaro Pascual‐Leone, Walter Paulus, Angel V. Peterchev, Angelo Quartarone, Alexander Rotenberg, John C. Rothwell, Paolo Maria Rossini, Emiliano Santarnecchi, Mouhsin M. Shafi, Hartwig R. Siebner, Yoshikatzu Ugawa, Eric M. Wassermann, Abraham Zangen, Ulf Ziemann, Mark Hallett
Citations: 1471 • 2020
Is imitation learning the route to humanoid robots?
Stefan Schaal
Citations: 1325 • 1999
Motor learning: its relevance to stroke recovery and neurorehabilitation
John W. Krakauer
Citations: 1263 • 2006
From Swimming to Walking with a Salamander Robot Driven by a Spinal Cord Model
Auke Jan Ijspeert, Alessandro Crespi, Dimitri Ryczko, Jean‐Marie Cabelguen
Citations: 1195 • 2007
Models of Information Processing in the Basal Ganglia
Citations: 1187 • 1994
The neural and behavioural organization of goal-directed movements
Marc Jeannerod
Citations: 1175 • 1988
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
Citations: 1157 • 1999