Paul Dean

According to our database, Paul Dean authored at least 25 papers between 1991 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Comparison of Physical and System Factors Impacting Hydration Sensing in Leaves Using Terahertz Time-Domain and Quantum Cascade Laser Feedback Interferometry Imaging.

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

Sensors, March, 2023

2021

The Design Space of Emergent Scheduling for Distributed Execution Frameworks.

Paul Dean, Barry Porter

Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

2020

A Survey of Methodology in Self-Adaptive Systems Research.

Barry Porter, Roberto Rodrigues Filho, Paul Dean

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

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

Emergent Scheduling of Distributed Execution Frameworks.

Paul Dean

Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019

2017

Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions.

Christos Kouppas, Martin J. Pearson, Paul Dean, Sean R. Anderson

Proceedings of the Biomimetic and Biohybrid Systems - 6th International Conference, 2017

2016

Laser Feedback Interferometry as a Tool for Analysis of Granular Materials at Terahertz Frequencies: Towards Imaging and Identification of Plastic Explosives.

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

Sensors, 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

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

1991

Saccade control in a simulated robot camera-head system: neural net architectures for efficient learning of inverse kinematics.

Paul Dean, John E. W. Mayhew, Neil A. Thacker, Pat Langdon

Biol. Cybern., 1991

A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem.

Paul Dean, John E. W. Mayhew, Pat Langdon

Proceedings of the Advances in Neural Information Processing Systems 4, 1991