A Neural Net Model for Adaptive Control of Saccadic Accuracy by Primate Cerebellum and Brainstem. - Paul Dean; John E. W. Mayhew; Pat Langdon (NIPS, 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)

Pseudo-inverse control in biological systems: a learning mechanism for fixation stability. - Paul Dean; John Porrill (Neural Networks, 1998)

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)

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)

Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. - John Porrill; Paul Dean (Neural Comput., 2007)

Cerebellar Motor Learning: When Is Cortical Plasticity Not Enough? - John Porrill; Paul Dean (PLoS Comput. Biol., 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)

Silent Synapses, LTP, and the Indirect Parallel-Fibre Pathway: Computational Consequences of Optimal Cerebellar Noise-Processing. - John Porrill; Paul Dean (PLoS Comput. Biol., 2008)

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)

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)

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)

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)

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 (TAROS, 2012)

Adaptive filters and internal models: Multilevel description of cerebellar function. - John Porrill; Paul Dean; Sean R. Anderson (Neural Networks, 2013)

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)

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)

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 (ICRA, 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; et al. (Sensors, 2016)

Feather-Inspired Sensor for Stabilizing Unmanned Aerial Vehicles in Turbulent Conditions. - Christos Kouppas; Martin J. Pearson; Paul Dean; Sean R. Anderson (Living Machines, 2017)

Emergent Scheduling of Distributed Execution Frameworks. - Paul Dean (FAS*W@SASO/ICAC, 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)

A Survey of Methodology in Self-Adaptive Systems Research. - Barry Porter; Roberto Rodrigues Filho; Paul Dean (ACSOS, 2020)

The Design Space of Emergent Scheduling for Distributed Execution Frameworks. - Paul Dean; Barry Porter (SEAMS@ICSE, 2021)

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, 2023)

Self-Adaptive Systems Challenges in Delivering Object-Based Media. - Barry Porter; Paul Dean; Nicholas J. P. Race; Mark Lomas; Rajiv Ramdhany (ACSOS, 2024)