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John Porrill

Showing results (1-10 of 34) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Pseudo-inverse control in biological systems: a learning mechanism for fixation stabilityPaul Dean, John Porrill
The Journal of Physiology|April 20, 2011
Evaluating the adaptive-filter model of the cerebellumPaul Dean, John Porrill
Neural Computation|December 1, 2006
Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systemsJohn Porrill, Paul Dean
Plos Computational Biology|May 24, 2008
Silent synapses, LTP, and the indirect parallel-fibre pathway: computational consequences of optimal cerebellar noise-processingJohn Porrill, Paul Dean
Progress in Brain Research|June 12, 2014
Decorrelation learning in the cerebellum: computational analysis and experimental questionsPaul Dean, John Porrill
Functional Neurology|March 8, 2011
The cerebellum as an adaptive filter: a general model?Paul Dean, John Porrill
Plos Computational Biology|October 31, 2007
Cerebellar motor learning: when is cortical plasticity not enough?John Porrill, Paul Dean
Progress in Brain Research|August 23, 2008
Oculomotor anatomy and the motor-error problem: the role of the paramedian tract nucleiPaul Dean, John Porrill
Cerebellum (London, England)|October 31, 2008
Adaptive-filter models of the cerebellum: computational analysisPaul Dean, John Porrill
Progress in Brain Research|December 4, 2003
Visual awareness and the cerebellum: possible role of decorrelation controlPaul Dean, John Porrill, James V Stone
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Pseudo-inverse control in biological systems: a learning mechanism for fixation stabilityPaul Dean, John Porrill
The Journal of Physiology|April 20, 2011
Evaluating the adaptive-filter model of the cerebellumPaul Dean, John Porrill
Neural Computation|December 1, 2006
Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systemsJohn Porrill, Paul Dean
Plos Computational Biology|May 24, 2008
Silent synapses, LTP, and the indirect parallel-fibre pathway: computational consequences of optimal cerebellar noise-processingJohn Porrill, Paul Dean
Progress in Brain Research|June 12, 2014
Decorrelation learning in the cerebellum: computational analysis and experimental questionsPaul Dean, John Porrill
Functional Neurology|March 8, 2011
The cerebellum as an adaptive filter: a general model?Paul Dean, John Porrill
Plos Computational Biology|October 31, 2007
Cerebellar motor learning: when is cortical plasticity not enough?John Porrill, Paul Dean
Progress in Brain Research|August 23, 2008
Oculomotor anatomy and the motor-error problem: the role of the paramedian tract nucleiPaul Dean, John Porrill
Cerebellum (London, England)|October 31, 2008
Adaptive-filter models of the cerebellum: computational analysisPaul Dean, John Porrill
Progress in Brain Research|December 4, 2003
Visual awareness and the cerebellum: possible role of decorrelation controlPaul Dean, John Porrill, James V Stone
Pageof 4