Stability calculations for Piecewise-Smooth Delay Equations. - David A. W. Barton (Int. J. Bifurc. Chaos, 2009)

Transitions to spike-wave oscillations and epileptic dynamics in a human cortico-thalamic mean-field model. - Serafim Rodrigues; David A. W. Barton; Robert Szalai; Oscar Benjamin; Mark P. Richardson; John R. Terry (J. Comput. Neurosci., 2009)

Equilibrium Configurations for a Territorial Model. - Ronald Votel; David A. W. Barton; Takahide Gotou; Takeshi Hatanaka; Masayuki Fujita; Jeff Moehlis (SIAM J. Appl. Dyn. Syst., 2009)

A method for detecting false bifurcations in dynamical systems: application to neural-field models. - Serafim Rodrigues; David A. W. Barton; Frank Marten; Moses Kibuuka; Gonzalo Alarcón; Mark P. Richardson; John R. Terry (Biol. Cybern., 2010)

Gaussian Process Regression for a Biomimetic Tactile Sensor. - Kirsty Aquilina; David A. W. Barton; Nathan F. Lepora (Living Machines, 2016)

Experimental Tracking of Limit-Point Bifurcations and Backbone Curves Using Control-Based Continuation. - Ludovic Renson; David A. W. Barton; Simon A. Neild (Int. J. Bifurc. Chaos, 2017)

Principal Components of Touch. - Kirsty Aquilina; David A. W. Barton; Nathan F. Lepora (ICRA, 2018)

Shear-invariant Sliding Contact Perception with a Soft Tactile Sensor. - Kirsty Aquilina; David A. W. Barton; Nathan F. Lepora (ICRA, 2019)

Learning to Live Life on the Edge: Online Learning for Data-Efficient Tactile Contour Following. - Elizabeth A. Stone; Nathan F. Lepora; David A. W. Barton (IROS, 2020)

Walking on TacTip toes: A tactile sensing foot for walking robots. - Elizabeth A. Stone; Nathan F. Lepora; David A. W. Barton (IROS, 2020)

Using scientific machine learning for experimental bifurcation analysis of dynamic systems. - Sandor Beregi; David A. W. Barton; Djamel Rezgui; Simon A. Neild (CoRR, 2021)

Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation. - Americo Cunha Jr.; David A. W. Barton; Thiago G. Ritto (CoRR, 2022)

Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning. - K. H. Lee; David A. W. Barton; Ludovic Renson (CoRR, 2022)

A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints. - Roussel Desmond Nzoyem Ngueguin; David A. W. Barton; Tom Deakin (SC Workshops, 2023)

Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing. - Max Yang; Yijiong Lin; Alex Church; John Lloyd; Dandan Zhang; David A. W. Barton; Nathan F. Lepora (IEEE Robotics Autom. Lett., 2023)

AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch. - Max Yang; Chenghua Lu; Alex Church; Yijiong Lin; Christopher J. Ford; Haoran Li; Efi Psomopoulou; David A. W. Barton; Nathan F. Lepora (CoRL, 2024)

Neural Context Flows for Learning Generalizable Dynamical Systems. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2024)

Iterative method for real-time Hybrid testing: application to a cantilever beam with two interface degrees of freedom. - Alessandra Vizzaccaro; Sandor Beregi; David A. W. Barton; Simon A. Neild (CoRR, 2024)

Extending Contextual Self-Modulation: Meta-Learning Across Modalities, Task Dimensionalities, and Data Regimes. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2024)

Tactile control for object tracking and dynamic contour following. - Kirsty Aquilina; David A. W. Barton; Nathan F. Lepora (Robotics Auton. Syst., 2024)

Neural Context Flows for Meta-Learning of Dynamical Systems. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (ICLR, 2025)

Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of Experts. - Roussel Desmond Nzoyem; David A. W. Barton; Tom Deakin (CoRR, 2025)

Weight-Space Linear Recurrent Neural Networks. - Roussel Desmond Nzoyem; Nawid Keshtmand; Idriss Tsayem; David A. W. Barton; Tom Deakin (CoRR, 2025)