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Publication search results
found 50 matches
- 2019
- Emma D. Wilson
, Sean R. Anderson
, Paul Dean, John Porrill:
Sensorimotor maps can be dynamically calibrated using an adaptive-filter model of the cerebellum. PLoS Comput. Biol. 15(7) (2019) - 2016
- Tareq Assaf
, Emma D. Wilson
, Sean R. Anderson
, Paul Dean, John Porrill, Martin J. Pearson:
Visual-tactile sensory map calibration of a biomimetic whiskered robot. ICRA 2016: 967-972 - 2015
- Emma D. Wilson
, Tareq Assaf
, Martin J. Pearson, Jonathan M. Rossiter
, Paul Dean, Sean R. Anderson
, John Porrill:
Biohybrid Control of General Linear Systems Using the Adaptive Filter Model of Cerebellum. Frontiers Neurorobotics 9: 5 (2015) - Christian Rössert, Paul Dean, John Porrill:
At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters. PLoS Comput. Biol. 11(10) (2015) - 2013
- John Porrill, Paul Dean, Sean R. Anderson
:
Adaptive filters and internal models: Multilevel description of cerebellar function. Neural Networks 47: 134-149 (2013) - Hector Barron-Gonzalez, John Porrill, Nathan F. Lepora
, Eris Chinellato, Giorgio Metta, Tony J. Prescott
:
Cerebellum-based adaptation for fine haptic control over the space of uncertain surfaces. World Haptics 2013: 353-358 - Emma D. Wilson
, Tareq Assaf
, Martin J. Pearson, Jonathan Rossiter
, Sean R. Anderson
, John Porrill:
Bioinspired Adaptive Control for Artificial Muscles. Living Machines 2013: 311-322 - William R. Jacobs, Emma D. Wilson, Tareq Assaf
, Jonathan M. Rossiter
, Tony J. Dodd
, John Porrill, Sean R. Anderson
:
Control-Oriented Nonlinear Dynamic Modelling of Dielectric Electro-Active Polymers. TAROS 2013: 259-260 - Emma D. Wilson, Sean R. Anderson
, Tareq Assaf
, Jonathan Rossiter, Martin J. Pearson, John Porrill:
Developing the Cerebellar Chip as a General Control Module for Autonomous Systems. TAROS 2013: 53-63 - 2012
- 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:
Bioinspired Control of Electro-Active Polymers for Next Generation Soft Robots. TAROS 2012: 424-425 - 2010
- Nathan F. Lepora
, John Porrill, Christopher H. Yeo, Paul Dean:
Sensory Prediction or Motor Control? Application of Marr-Albus Type Models of Cerebellar Function to Classical Conditioning. Frontiers Comput. Neurosci. 4: 140 (2010) - Sean R. Anderson
, Nathan F. Lepora
, John Porrill, Paul Dean:
Nonlinear Dynamic Modeling of Isometric Force Production in Primate Eye Muscle. IEEE Trans. Biomed. Eng. 57(7): 1554-1567 (2010) - Sean R. Anderson
, Martin J. Pearson, Anthony G. Pipe, Tony J. Prescott
, Paul Dean, John Porrill:
Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot. IEEE Trans. Robotics 26(6): 1065-1076 (2010) - 2009
- Alexander Lenz, Sean R. Anderson
, Anthony G. Pipe, Chris Melhuish, Paul Dean, John Porrill:
Cerebellar-Inspired Adaptive Control of a Robot Eye Actuated by Pneumatic Artificial Muscles. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1420-1433 (2009) - 2008
- John Porrill, Paul Dean:
Silent Synapses, LTP, and the Indirect Parallel-Fibre Pathway: Computational Consequences of Optimal Cerebellar Noise-Processing. PLoS Comput. Biol. 4(5) (2008) - 2007
- Eirini Mavritsaki
, Nathan F. Lepora
, John Porrill, Christopher H. Yeo, Paul Dean:
Response linearity determined by recruitment strategy in detailed model of nictitating membrane control. Biol. Cybern. 96(1): 39-57 (2007) - John Porrill, Paul Dean:
Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. Neural Comput. 19(1): 170-193 (2007) - John Porrill, Paul Dean:
Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough? PLoS Comput. Biol. 3(10) (2007) - Sean R. Anderson
, Paul Dean, Visakan Kadirkamanathan
, Chris R. S. Kaneko, John Porrill:
System Identification From Multiple Short-Time-Duration Signals. IEEE Trans. Biomed. Eng. 54(12): 2205-2213 (2007) - 2004
- Paul A. Warren
, John Porrill, Paul Dean:
Consistency of Listing's law and reciprocal innervation with pseudo-inverse control of eye position in 3-D. Biol. Cybern. 91(1): 1-9 (2004) - 2002
- James V. Stone
, J. Porrill, N. R. Porter, Iain D. Wilkinson
:
Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions. NeuroImage 15(2): 407-421 (2002) - 1998
- Jim Ivins, John Porrill:
Constrained Active Region Models for Fast Tracking in Color Image Sequences. Comput. Vis. Image Underst. 72(1): 54-71 (1998) - James P. Ivins, John Porrill:
A deformable model of the human iris for measuring small three-dimensional eye movements. Mach. Vis. Appl. 11(1): 42-51 (1998) - Paul Dean, John Porrill:
Pseudo-inverse control in biological systems: a learning mechanism for fixation stability. Neural Networks 11(7-8): 1205-1218 (1998) - Jim Ivins, John Porrill, John P. Frisby, Guy A. Orban:
The joint probability density function for linear optic flow components. ICPR 1998: 795-798 - 1996
- Jonas Gårding, John Porrill, John P. Frisby, John E. W. Mayhew:
Uncalibrated Relief Reconstruction and Model Alignment from Binocular Disparities. ECCV (1) 1996: 427-438 - 1995
- Jim Ivins, John Porrill:
Active region models for segmenting textures and colours. Image Vis. Comput. 13(5): 431-438 (1995) - 1994
- S. D. Hippisley-Cox, John Porrill:
Auto-calibration - Kruppa's Equations and the Intrinsic Parameters of a Camera. BMVC 1994: 1-10 - Jim Ivins, John Porrill:
Statistical Snakes: Active Region Models. BMVC 1994: 1-10 - Jim Ivins, John Porrill:
Active Region Models for Segmenting Medical Images. ICIP (2) 1994: 227-231
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