Cerebellum

Related papers: 20

Top Cited Papers

The cerebellum is involved in predicting the sensory consequences of action

Sarah‐Jayne Blakemore, Chris Frith, Daniel M. Wolpert

Citations: 597 • 2001

Short latency cerebellar modulation of the basal ganglia

Christopher H. Chen, Rachel Fremont, Eduardo E. Arteaga-Bracho, Kamran Khodakhah

Citations: 286 • 2014

Motor Learning and the Cerebellum

Chris I. De Zeeuw, Michiel M. ten Brinke

Citations: 259 • 2015

Behavioural and neural basis of anomalous motor learning in children with autism

Mollie K. Marko, Deana Crocetti, Thomas Hulst, Opher Donchin, Reza Shadmehr, Stewart H. Mostofsky

Citations: 164 • 2015

Long-term adaptation to dynamics of reaching movements: a PET study

Reza Nezafat, Reza Shadmehr, Henry H. Holcomb

Citations: 138 • 2001

A real-time spiking cerebellum model for learning robot control

Richard R. Carrillo, Eduardo Ros, Christian Boucheny, Olivier J. M. D. Coenen

Citations: 118 • 2008

Distributed Circuit Plasticity: New Clues for the Cerebellar Mechanisms of Learning

Egidio D’Angelo, Lisa Mapelli, Claudia Casellato, Jesús A. Garrido, Niceto R. Luque, Jessica Monaco, Francesca Prestori, Alessandra Pedrocchi, Eduardo Ros

Citations: 96 • 2015

Realtime cerebellum: A large-scale spiking network model of the cerebellum that runs in realtime using a graphics processing unit

Tadashi Yamazaki, Jun Igarashi

Citations: 83 • 2013

Adaptive Robotic Control Driven by a Versatile Spiking Cerebellar Network

Claudia Casellato, Alberto Antonietti, Jesús A. Garrido, Richard R. Carrillo, Niceto R. Luque, Eduardo Ros, Alessandra Pedrocchi, Egidio D’Angelo

Citations: 77 • 2014

Distributed cerebellar plasticity implements adaptable gain control in a manipulation task: a closed-loop robotic simulation

Jesús A. Garrido, Niceto R. Luque, Egidio D’Angelo, Eduardo Ros

Citations: 76 • 2013

A mutation in Af4 is predicted to cause cerebellar ataxia and cataracts in the robotic mouse.

Adrian M. Isaacs, Peter L. Oliver, Emma Jones, Alexander Jeans, Allyson C. Potter, Berit H. Hovik, Patrick M. Nolan, Lucie Vizor, P. H. Glenister, Anna Katharina Simon, Ian C. Gray, Nigel K. Spurr, A. Jackie Hunter, Kay E. Davies

Citations: 72 • 2003

Distributed cerebellar plasticity implements generalized multiple-scale memory components in real-robot sensorimotor tasks

Claudia Casellato, Alberto Antonietti, Jesús A. Garrido, Giancarlo Ferrigno, Egidio D’Angelo, Alessandra Pedrocchi

Citations: 71 • 2015

The cerebellum in action: a simulation and robotics study

Constanze Hofstötter, Matti Mintz, Paul F. M. J. Verschure

Citations: 70 • 2002

How does brain activation differ in children with unilateral cerebral palsy compared to typically developing children, during active and passive movements, and tactile stimulation? An fMRI study

Ann Van de Winckel, Katrijn Klingels, Frans Bruyninckx, Nici Wenderoth, Ronald Peeters, Stefan Sunaert, Wim Van Hecke, Paul De Cock, Maria Eyssen, Willy De Weerdt, Hilde Feys

Citations: 69 • 2012

A cerebellar model for predictive motor control tested in a brain-based device

Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar

Citations: 67 • 2006

Connectivity alterations assessed by combining fMRI and MR-compatible hand robots in chronic stroke

Dionyssios Mintzopoulos, Loukas G. Astrakas, Azadeh Khanicheh, Angelos A. Konstas, Aneesh B. Singhal, Michael A. Moskowitz, Bruce R. Rosen, A. Aria Tzika

Citations: 65 • 2009

Realistic modeling of neurons and networks: towards brain simulation.

Egidio D’Angelo, Sergio Solinas, Jesús A. Garrido, Claudia Casellato, Alessandra Pedrocchi, Jonathan Mapelli, Daniela Gandolfi, Francesca Prestori

Citations: 64 • 2014

Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles

Alexander Lenz, Sean Anderson, Tony Pipe, Chris Melhuish, Paul Dean, John Porrill

Citations: 61 • 2009

Mediation of Af4 protein function in the cerebellum by Siah proteins

Peter L. Oliver, Emmanuelle Bitoun, Joanne Clark, Emma Jones, Kay E. Davies

Citations: 53 • 2004

Fast convergence of learning requires plasticity between inferior olive and deep cerebellar nuclei in a manipulation task: a closed-loop robotic simulation

Niceto R. Luque, Jesús A. Garrido, Richard R. Carrillo, Egidio D’Angelo, Eduardo Ros

Citations: 48 • 2014