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2020 – today
- 2023
[j18]Khushboo Singh, Aparajita Bandyopadhyay
, Karl Bertling, Yah Leng Lim, Tim Gillespie, Dragan Indjin, Lianhe Li, Edmund H. Linfield, A. Giles Davies, Paul Dean, Aleksandar D. Rakic, Amartya Sengupta:
Comparison of Physical and System Factors Impacting Hydration Sensing in Leaves Using Terahertz Time-Domain and Quantum Cascade Laser Feedback Interferometry Imaging. Sensors 23(5): 2721 (2023)- 2021
- [c7]Paul Dean, Barry Porter:
The Design Space of Emergent Scheduling for Distributed Execution Frameworks. SEAMS@ICSE 2021: 186-195 - 2020
- [c6]Barry Porter, Roberto Rodrigues Filho, Paul Dean:
A Survey of Methodology in Self-Adaptive Systems Research. ACSOS 2020: 168-177
2010 – 2019
- 2019
- [j17]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) - [c5]Paul Dean:
Emergent Scheduling of Distributed Execution Frameworks. FAS*W@SASO/ICAC 2019: 240-242 - 2017
- [c4]Christos Kouppas, Martin J. Pearson, Paul Dean, Sean R. Anderson:
Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions. Living Machines 2017: 230-241 - 2016
- [j16]She Han, Karl Bertling, Paul Dean, James Keeley, Andrew D. Burnett, Yah Leng Lim, Suraj P. Khanna, Alexander Valavanis, Edmund H. Linfield, A. Giles Davies, Dragan Indjin, Thomas Taimre, Aleksandar D. Rakic:
Laser Feedback Interferometry as a Tool for Analysis of Granular Materials at Terahertz Frequencies: Towards Imaging and Identification of Plastic Explosives. Sensors 16(3): 352 (2016) - [c3]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
- [j15]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) - [j14]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
- [j13]John Porrill, Paul Dean, Sean R. Anderson:
Adaptive filters and internal models: Multilevel description of cerebellar function. Neural Networks 47: 134-149 (2013) - 2012
- [c2]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
- [j12]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) - [j11]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) - [j10]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)
2000 – 2009
- 2009
- [j9]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
- [j8]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
- [j7]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) - [j6]John Porrill, Paul Dean:
Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. Neural Comput. 19(1): 170-193 (2007) - [j5]John Porrill, Paul Dean:
Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough? PLoS Comput. Biol. 3(10) (2007) - [j4]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
- [j3]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)
1990 – 1999
- 1998
- [j2]Paul Dean, John Porrill:
Pseudo-inverse control in biological systems: a learning mechanism for fixation stability. Neural Networks 11(7-8): 1205-1218 (1998) - 1991
- [j1]Paul Dean, John E. W. Mayhew, Neil A. Thacker, Pat Langdon:
Saccade control in a simulated robot camera-head system: neural net architectures for efficient learning of inverse kinematics. Biol. Cybern. 66(1): 27-36 (1991) - [c1]Paul Dean, John E. W. Mayhew, Pat Langdon:
A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem. NIPS 1991: 595-602
Coauthor Index
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