John Porrill

According to our database, John Porrill authored at least 46 papers between 1987 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

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., 2019

2016

Visual-tactile sensory map calibration of a biomimetic whiskered robot.

Tareq Assaf, Emma D. Wilson, Sean R. Anderson, Paul Dean, John Porrill, Martin J. Pearson

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

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., 2015

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, Sean R. Anderson, John Porrill

Frontiers Neurorobotics, 2015

2013

Adaptive filters and internal models: Multilevel description of cerebellar function.

John Porrill, Paul Dean, Sean R. Anderson

Neural Networks, 2013

Developing the Cerebellar Chip as a General Control Module for Autonomous Systems.

Emma D. Wilson, Sean R. Anderson, Tareq Assaf, Jonathan Rossiter, Martin J. Pearson, John Porrill

Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Control-Oriented Nonlinear Dynamic Modelling of Dielectric Electro-Active Polymers.

William R. Jacobs, Emma D. Wilson, Tareq Assaf, Jonathan M. Rossiter, Tony J. Dodd, John Porrill, Sean R. Anderson

Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Bioinspired Adaptive Control for Artificial Muscles.

Emma D. Wilson, Tareq Assaf, Martin J. Pearson, Jonathan Rossiter, Sean R. Anderson, John Porrill

Proceedings of the Biomimetic and Biohybrid Systems, 2013

Cerebellum-based adaptation for fine haptic control over the space of uncertain surfaces.

Hector Barron-Gonzalez, John Porrill, Nathan F. Lepora, Eris Chinellato, Giorgio Metta, Tony J. Prescott

Proceedings of the 2013 World Haptics Conference, 2013

2012

Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots.

Emma D. Wilson, Sean R. Anderson, Tareq Assaf, Martin J. Pearson, Peter Walters, Tony J. Prescott, Chris Melhuish, Jonathan Rossiter, Tony Pipe, Paul Dean, John Porrill

Proceedings of the Advances in Autonomous Robotics, 2012

2010

Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot.

Sean R. Anderson, Martin J. Pearson, Anthony G. Pipe, Tony J. Prescott, Paul Dean, John Porrill

IEEE Trans. Robotics, 2010

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., 2010

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

Frontiers Comput. Neurosci., 2010

2009

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

Alexander Lenz, Sean R. Anderson, Anthony G. Pipe, Chris Melhuish, Paul Dean, John Porrill

IEEE Trans. Syst. Man Cybern. Part B, 2009

2008

Silent Synapses, LTP, and the Indirect Parallel-Fibre Pathway: Computational Consequences of Optimal Cerebellar Noise-Processing.

John Porrill, Paul Dean

PLoS Comput. Biol., 2008

2007

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., 2007

Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough?

John Porrill, Paul Dean

PLoS Comput. Biol., 2007

Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems.

John Porrill, Paul Dean

Neural Comput., 2007

Response linearity determined by recruitment strategy in detailed model of nictitating membrane control.

Eirini Mavritsaki, Nathan F. Lepora, John Porrill, Christopher H. Yeo, Paul Dean

Biol. Cybern., 2007

2004

Consistency of Listing's law and reciprocal innervation with pseudo-inverse control of eye position in 3-D.

Paul A. Warren, John Porrill, Paul Dean

Biol. Cybern., 2004

1998

Pseudo-inverse control in biological systems: a learning mechanism for fixation stability.

Paul Dean, John Porrill

Neural Networks, 1998

A deformable model of the human iris for measuring small three-dimensional eye movements.

James P. Ivins, John Porrill

Mach. Vis. Appl., 1998

Constrained Active Region Models for Fast Tracking in Color Image Sequences.

Jim Ivins, John Porrill

Comput. Vis. Image Underst., 1998

The joint probability density function for linear optic flow components.

Jim Ivins, John Porrill, John P. Frisby, Guy A. Orban

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1996

Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities.

Jonas Gårding, John Porrill, John P. Frisby, John E. W. Mayhew

Proceedings of the Computer Vision, 1996

1995

Active region models for segmenting textures and colours.

Jim Ivins, John Porrill

Image Vis. Comput., 1995

1994

Active Region Models for Segmenting Medical Images.

Jim Ivins, John Porrill

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Statistical Snakes: Active Region Models.

Jim Ivins, John Porrill

Proceedings of the British Machine Vision Conference, 1994

Auto-calibration - Kruppa's Equations and the Intrinsic Parameters of a Camera.

S. D. Hippisley-Cox, John Porrill

Proceedings of the British Machine Vision Conference, 1994

1992

Robust Recovery of 3D Ellipse Data.

Stephen Pollard, John Porrill

Proceedings of the British Machine Vision Conference, 1992

Ground Plane Obstacle Detection Under Variable Camera Geometry Using a Predictive Stereo Matcher.

Stuart M. Cornell, John Porrill, John E. W. Mayhew

Proceedings of the British Machine Vision Conference, 1992

1991

Curve matching and stereo calibration.

John Porrill, Stephen Pollard

Image Vis. Comput., 1991

Recovering partial 3D wire frames descriptions from stereo data.

Stephen Pollard, John Porrill, John E. W. Mayhew

Image Vis. Comput., 1991

Retrieval of High-Level Data Structures from Stereo Vision Data.

Fidenzio Burbello, Stephen Pollard, John Porrill, John E. W. Mayhew

Proceedings of the Trends in Artificial Intelligence, 1991

1990

Fitting ellipses and predicting confidence envelopes using a bias corrected Kalman filter.

John Porrill

Image Vis. Comput., 1990

Experiments in vehicle control using predictive feed-forward stereo.

Stephen Pollard, John Porrill, John E. W. Mayhew

Image Vis. Comput., 1990

Recovering partial 3D wire frame descriptions from stereo data.

Stephen Pollard, John Porrill, John E. W. Mayhew

Proceedings of the British Machine Vision Conference, 1990

Segmentation of planar curves using local and global behaviour analysis.

Li-Dong Cai, John Porrill, Stephen Pollard, John E. W. Mayhew, John P. Frisby

Proceedings of the British Machine Vision Conference, 1990

1989

Geometrical Modeling from Multiple Stereo Views.

Stephen Pollard, Tony P. Pridmore, John Porrill, John E. W. Mayhew, John P. Frisby

Int. J. Robotics Res., 1989

Predictive Feed Forward Stereo Processing.

Stephen B. Pollard, John Porrill, John E. W. Mayhew

Proceedings of the Alvey Vision Conference, 1989

1988

TINA: a 3D vision system for pick and place.

John Porrill, Stephen Pollard, Tony P. Pridmore, Jonathan B. Bowen, John E. W. Mayhew, John P. Frisby

Image Vis. Comput., 1988

Optimal Combination and Constraints for Geometrical Sensor Data.

John Porrill

Int. J. Robotics Res., 1988

1987

Segmentation and description of binocularly viewed contours.

Tony P. Pridmore, John Porrill, John E. W. Mayhew

Image Vis. Comput., 1987

Optimal combination of multiple sensors including stereo vision.

John Porrill, S. B. Pollard, John E. W. Mayhew

Image Vis. Comput., 1987

Matching geometrical descriptions in three-space.

S. B. Pollard, John Porrill, John E. W. Mayhew, John P. Frisby

Image Vis. Comput., 1987

TINA: The Sheffeild AIVRU Vision System.

John Porrill, Stephen Pollard, Tony P. Pridmore, Jonathan B. Bowen, John E. W. Mayhew, John P. Frisby

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987