Publications by authors named "John Porrill"

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A multizone cerebellar chip for bioinspired adaptive robot control and sensorimotor processing.
Emma D Wilson, Tareq Assaf, Jonathan M Rossiter, Paul Dean, John Porrill

J R Soc Interface· January 2021

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World Statistics Drive Learning of Cerebellar Internal Models in Adaptive Feedback Control: A Case Study Using the Optokinetic Reflex.
Sean R Anderson, John Porrill, Paul Dean

Front Syst Neurosci· March 2020

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Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum.
Emma D Wilson, Sean R Anderson, Paul Dean, John Porrill

PLoS Comput Biol· July 2019

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Cerebellar-inspired algorithm for adaptive control of nonlinear dielectric elastomer-based artificial muscle.
Emma D Wilson, Tareq Assaf, Martin J Pearson, Jonathan M Rossiter, Sean R Anderson, John Porrill

J R Soc Interface· September 2016

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At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters.
Christian Rössert, Paul Dean, John Porrill

PLoS Comput Biol· October 2015

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Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum.
Emma D Wilson, Tareq Assaf, Martin J Pearson, Jonathan M Rossiter, Paul Dean, John Porrill

Front Neurorobot· August 2015

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Decorrelation learning in the cerebellum: computational analysis and experimental questions.
Paul Dean, John Porrill

Prog Brain Res· April 2015

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Model cerebellar granule cells can faithfully transmit modulated firing rate signals.
Christian Rössert, Sergio Solinas, Egidio D'Angelo, Paul Dean, John Porrill

Front Cell Neurosci· October 2014

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Adaptive filters and internal models: multilevel description of cerebellar function.
John Porrill, Paul Dean, Sean R Anderson

Neural Netw· November 2013

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An adaptive filter model of cerebellar zone C3 as a basis for safe limb control?
Paul Dean, Sean Anderson, John Porrill, Henrik Jörntell

J Physiol· November 2013

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An internal model architecture for novelty detection: implications for cerebellar and collicular roles in sensory processing.
Sean R Anderson, John Porrill, Martin J Pearson, Anthony G Pipe, Tony J Prescott

PLoS One· February 2013

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Sensory prediction or motor control? Application of marr-albus type models of cerebellar function to classical conditioning.
Nathan F Lepora, John Porrill, Christopher H Yeo, Paul Dean

Front Comput Neurosci· July 2011

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Evaluating the adaptive-filter model of the cerebellum.
Paul Dean, John Porrill

J Physiol· July 2011

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The cerebellum as an adaptive filter: a general model?
Paul Dean, John Porrill

Funct Neurol· April 2011

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Synaptic plasticity in medial vestibular nucleus neurons: comparison with computational requirements of VOR adaptation.
John R W Menzies, John Porrill, Mayank Dutia, Paul Dean

PLoS One· October 2010

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Nonlinear dynamic modeling of isometric force production in primate eye muscle.
Sean R Anderson, Nathan F Lepora, John Porrill, Paul Dean

IEEE Trans Biomed Eng· July 2010

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The accuracy of metric judgements: perception of surface normal.
John Porrill, Philip A Duke, Naira A Taroyan, John P Frisby, David Buckley

Vision Res· June 2010

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The cerebellar microcircuit as an adaptive filter: experimental and computational evidence.
Paul Dean, John Porrill, Carl-Fredrik Ekerot, Henrik Jörntell

Nat Rev Neurosci· January 2010

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Cerebellar-inspired adaptive control of a robot eye actuated by pneumatic artificial muscles.
Alexander Lenz, Sean R Anderson, A G Pipe, Chris Melhuish, Paul Dean, John Porrill

IEEE Trans Syst Man Cybern B Cybern· December 2009

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Dynamics of primate oculomotor plant revealed by effects of abducens microstimulation.
Sean R Anderson, John Porrill, Sokratis Sklavos, Neeraj J Gandhi, David L Sparks

J Neurophysiol· June 2009

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Adaptive-filter models of the cerebellum: computational analysis.
Paul Dean, John Porrill

Cerebellum· May 2009

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Oculomotor anatomy and the motor-error problem: the role of the paramedian tract nuclei.
Paul Dean, John Porrill

Prog Brain Res· January 2009

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Silent synapses, LTP, and the indirect parallel-fibre pathway: computational consequences of optimal cerebellar noise-processing.
John Porrill, Paul Dean

PLoS Comput Biol· May 2008

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System identification from multiple short-time-duration signals.
Sean R Anderson, Paul Dean, Visakan Kadirkamanathan, Chris R S Kaneko, John Porrill

IEEE Trans Biomed Eng· December 2007

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Cerebellar motor learning: when is cortical plasticity not enough?
John Porrill, Paul Dean

PLoS Comput Biol· October 2007

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