John Porrill - RankMe

49 papers A* 2A 7B 1Journal 28Unranked 11

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum. PLoS Comput. Biol. Emma D. Wilson, Sean R. Anderson, Paul Dean, John Porrill
2016	A*	`conf`	Visual-tactile sensory map calibration of a biomimetic whiskered robot. ICRA Tareq Assaf, Emma D. Wilson, Sean R. Anderson, Paul Dean, John Porrill, Martin J. Pearson
2015	J	`jnl`	At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS Comput. Biol. Christian Rössert, Paul Dean, John Porrill
2015	J	`jnl`	Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum. Frontiers Neurorobotics Emma D. Wilson, Tareq Assaf, Martin J. Pearson, Jonathan M. Rossiter, Paul Dean, Sean R. Anderson, John Porrill
2013	J	`jnl`	Adaptive filters and internal models: Multilevel description of cerebellar function. Neural Networks John Porrill, Paul Dean, Sean R. Anderson
2013	—	`conf`	Bioinspired Adaptive Control for Artificial Muscles. Living Machines Emma D. Wilson, Tareq Assaf, Martin J. Pearson, Jonathan Rossiter, Sean R. Anderson, John Porrill
2013	—	`conf`	Cerebellum-based adaptation for fine haptic control over the space of uncertain surfaces. World Haptics Hector Barron-Gonzalez, John Porrill, Nathan F. Lepora, Eris Chinellato, Giorgio Metta, Tony J. Prescott
2013	—	`conf`	Control-Oriented Nonlinear Dynamic Modelling of Dielectric Electro-Active Polymers. TAROS William R. Jacobs, Emma D. Wilson, Tareq Assaf, Jonathan M. Rossiter, Tony J. Dodd, John Porrill, Sean R. Anderson
2013	—	`conf`	Developing the Cerebellar Chip as a General Control Module for Autonomous Systems. TAROS Emma D. Wilson, Sean R. Anderson, Tareq Assaf, Jonathan Rossiter, Martin J. Pearson, John Porrill
2012	—	`conf`	Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots. TAROS 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
2010	J	`jnl`	Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot. IEEE Trans. Robotics Sean R. Anderson, Martin J. Pearson, Anthony G. Pipe, Tony J. Prescott, Paul Dean, John Porrill
2010	J	`jnl`	Nonlinear Dynamic Modeling of Isometric Force Production in Primate Eye Muscle. IEEE Trans. Biomed. Eng. Sean R. Anderson, Nathan F. Lepora, John Porrill, Paul Dean
2010	J	`jnl`	Sensory Prediction or Motor Control? Application of Marr-Albus Type Models of Cerebellar Function to Classical Conditioning. Frontiers Comput. Neurosci. Nathan F. Lepora, John Porrill, Christopher H. Yeo, Paul Dean
2009	J	`jnl`	Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles. IEEE Trans. Syst. Man Cybern. Part B Alexander Lenz, Sean R. Anderson, Anthony G. Pipe, Chris Melhuish, Paul Dean, John Porrill
2008	J	`jnl`	Silent Synapses, LTP, and the Indirect Parallel-Fibre Pathway: Computational Consequences of Optimal Cerebellar Noise-Processing. PLoS Comput. Biol. John Porrill, Paul Dean
2007	J	`jnl`	Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough? PLoS Comput. Biol. John Porrill, Paul Dean
2007	J	`jnl`	Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. Neural Comput. John Porrill, Paul Dean
2007	J	`jnl`	Response linearity determined by recruitment strategy in detailed model of nictitating membrane control. Biol. Cybern. Eirini Mavritsaki, Nathan F. Lepora, John Porrill, Christopher H. Yeo, Paul Dean
2007	J	`jnl`	System Identification From Multiple Short-Time-Duration Signals. IEEE Trans. Biomed. Eng. Sean R. Anderson, Paul Dean, Visakan Kadirkamanathan, Chris R. S. Kaneko, John Porrill
2004	J	`jnl`	Consistency of Listing's law and reciprocal innervation with pseudo-inverse control of eye position in 3-D. Biol. Cybern. Paul A. Warren, John Porrill, Paul Dean
1998	J	`jnl`	A deformable model of the human iris for measuring small three-dimensional eye movements. Mach. Vis. Appl. James P. Ivins, John Porrill
1998	J	`jnl`	Constrained Active Region Models for Fast Tracking in Color Image Sequences. Comput. Vis. Image Underst. Jim Ivins, John Porrill
1998	J	`jnl`	Pseudo-inverse control in biological systems: a learning mechanism for fixation stability. Neural Networks Paul Dean, John Porrill
1998	B	`conf`	The joint probability density function for linear optic flow components. ICPR Jim Ivins, John Porrill, John P. Frisby, Guy A. Orban
1996	—	`conf`	Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities. ECCV (1) Jonas Gårding, John Porrill, John P. Frisby, John E. W. Mayhew
1995	J	`jnl`	Active region models for segmenting textures and colours. Image Vis. Comput. Jim Ivins, John Porrill
1994	—	`conf`	Active Region Models for Segmenting Medical Images. ICIP (2) Jim Ivins, John Porrill
1994	A	`conf`	Auto-calibration - Kruppa's Equations and the Intrinsic Parameters of a Camera. BMVC S. D. Hippisley-Cox, John Porrill
1994	A	`conf`	Statistical Snakes: Active Region Models. BMVC Jim Ivins, John Porrill
1992	A	`conf`	Ground Plane Obstacle Detection Under Variable Camera Geometry Using a Predictive Stereo Matcher. BMVC Stuart M. Cornell, John Porrill, John E. W. Mayhew
1992	A	`conf`	Robust Recovery of 3D Ellipse Data. BMVC Stephen Pollard, John Porrill
1991	J	`jnl`	Curve matching and stereo calibration. Image Vis. Comput. John Porrill, Stephen Pollard
1991	J	`jnl`	Recovering partial 3D wire frames descriptions from stereo data. Image Vis. Comput. Stephen Pollard, John Porrill, John E. W. Mayhew
1991	—	`conf`	Retrieval of High-Level Data Structures from Stereo Vision Data. AI*IA Fidenzio Burbello, Stephen Pollard, John Porrill, John E. W. Mayhew
1990	A	`conf`	Curve matching and stereo calibration. BMVC John Porrill, Stephen Pollard
1990	J	`jnl`	Experiments in vehicle control using predictive feed-forward stereo. Image Vis. Comput. Stephen Pollard, John Porrill, John E. W. Mayhew
1990	J	`jnl`	Fitting ellipses and predicting confidence envelopes using a bias corrected Kalman filter. Image Vis. Comput. John Porrill
1990	A	`conf`	Recovering partial 3D wire frame descriptions from stereo data. BMVC Stephen Pollard, John Porrill, John E. W. Mayhew
1990	A	`conf`	Segmentation of planar curves using local and global behaviour analysis. BMVC Li-Dong Cai, John Porrill, Stephen Pollard, John E. W. Mayhew, John P. Frisby
1989	—	`conf`	Fitting Ellipses and Predicting Confidence Envelopes using a Bias Corrected Kalman Filter. Alvey Vision Conference John Porrill
1989	J	`jnl`	Geometrical Modeling from Multiple Stereo Views. Int. J. Robotics Res. Stephen Pollard, Tony P. Pridmore, John Porrill, John E. W. Mayhew, John P. Frisby
1989	—	`conf`	Predictive Feed Forward Stereo Processing. Alvey Vision Conference Stephen B. Pollard, John Porrill, John E. W. Mayhew
1988	J	`jnl`	Optimal Combination and Constraints for Geometrical Sensor Data. Int. J. Robotics Res. John Porrill
1988	J	`jnl`	TINA: a 3D vision system for pick and place. Image Vis. Comput. John Porrill, Stephen Pollard, Tony P. Pridmore, Jonathan B. Bowen, John E. W. Mayhew, John P. Frisby
1987	J	`jnl`	Matching geometrical descriptions in three-space. Image Vis. Comput. S. B. Pollard, John Porrill, John E. W. Mayhew, John P. Frisby
1987	J	`jnl`	Optimal combination of multiple sensors including stereo vision. Image Vis. Comput. John Porrill, S. B. Pollard, John E. W. Mayhew
1987	J	`jnl`	Segmentation and description of binocularly viewed contours. Image Vis. Comput. Tony P. Pridmore, John Porrill, John E. W. Mayhew
1987	—	`conf`	TINA: A 3D Vision System for Pick and Place. Alvey Vision Conference John Porrill, Stephen B. Pollard, Tony P. Pridmore, Jonathan B. Bowen, John E. W. Mayhew, John P. Frisby
1987	A*	`conf`	TINA: The Sheffeild AIVRU Vision System. IJCAI John Porrill, Stephen Pollard, Tony P. Pridmore, Jonathan B. Bowen, John E. W. Mayhew, John P. Frisby