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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 PorrillThe Journal of Physiology|April 20, 2011
Evaluating the adaptive-filter model of the cerebellumPaul Dean, John PorrillNeural Computation|December 1, 2006
Recurrent cerebellar loops simplify adaptive control of redundant and nonlinear motor systemsJohn Porrill, Paul DeanPlos Computational Biology|May 24, 2008
Silent synapses, LTP, and the indirect parallel-fibre pathway: computational consequences of optimal cerebellar noise-processingJohn Porrill, Paul DeanProgress in Brain Research|June 12, 2014
Decorrelation learning in the cerebellum: computational analysis and experimental questionsPaul Dean, John PorrillFunctional Neurology|March 8, 2011
The cerebellum as an adaptive filter: a general model?Paul Dean, John PorrillPlos Computational Biology|October 31, 2007
Cerebellar motor learning: when is cortical plasticity not enough?John Porrill, Paul DeanProgress in Brain Research|August 23, 2008
Oculomotor anatomy and the motor-error problem: the role of the paramedian tract nucleiPaul Dean, John PorrillCerebellum (London, England)|October 31, 2008
Adaptive-filter models of the cerebellum: computational analysisPaul Dean, John PorrillPlos Computational Biology|October 21, 2015
At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal FiltersChristian Rössert, Paul Dean, John PorrillPageof 12