Selected publications:
  • A. J. Cope, E. Vasilaki, D. Minors, C. Sabo, J. A. R. Marshall, A. B. Barron. Abstract concept learning in a simple neural network inspired by the insect brain. PLoS Comput Biol, 2018 14(9)
  • C. Sabo, R. Chisholm, A. Petterson, A. Cope. A lightweight, inexpensive robotic system for insect vision. Arthropod Structure & Development, 2017
  • A. J. Cope, C. Sabo, E. Vasilaki, A. B. Barron, J. A. R. Marshall. A computational model of the integration of landmarks and motion in the insect central complex. PLoS ONE, 2017 12(2)
  • A. Cope, P. Richmond, S.S. James, K. Gurney, D.J. Allerton. SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models, Neuroinformatics, 2016 DOI: 10.1007/s12021-016-9311-z
  • C.M. Sabo, A. Cope, K. Gurney, E. Vasilaki, J.M. Marshall. Bio-Inspired Visual Navigation for a Quadcopter using Optic Flow. In AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics. 2016
  • A. Cope, C. Sabo, K. Gurney, E. Vasilaki, J. Marshall. A model for an angular velocity-tuned motion detector accounting for deviations in the corridor-centering response of the bee, PLoS Computational Biology, 2016,
  • P. Richmond, A. Cope, K. Gurney, D.J. Allerton (2014), From model specification to simulation of biologically constrained networks of spiking neurons, Neuroinformatics, 12, (2) 307
  • A. Cope, J. Chambers, K. N. Gurney, A Systems Integration Approach to Creating Embodied Biomimetic Models of Active Vision, Towards Autonomous Robotic Systems, 2011 6856: 372-373 (Springer).
  • A. Cope, K. N. Gurney, A biologically based model of active vision, Proceedings of AISB 11 - Architectures for Active Vision, 2011 13-20.
Conference papers / abstracts:
  • A. Cope, C. Sabo, E. Vasilaki, K. Gurney, J. Marshall (2015), A neural model of the optomotor system accounts for ordered responses to decreasing stimulus spatial frequencies, BMC Neuroscience, 16, (1) 15
  • A. Cope, P. Richmond, D.J. Allerton (2014), The SpineML toolchain: enabling computational neuroscience through flexible tools for creating, sharing, and simu- lating neural models, BMC Neuroscience, 15, (1) 224
  • T. Nowotny, A. Cope, E. Yavuz, M. Stimberg, D. Goodman, J. M. Marshall, K. Gurney (2014) SpineML and Brian 2.0 interfaces for using GPU enhanced Neuronal Networks (GeNN), BMC Neuroscience, 15, (1) 148
  • A. Cope, C. Sabo, E. Yavuz, K. Gurney, J. Marshall, T. Nowotny, E. Vasilaki (2013), The Green Brain Project–Developing a Neuromimetic Robotic Honeybee, Biomimetic and Biohybrid Systems, 362-363
  • A. Cope, J.M. Chambers, K. Gurney (2011). A Systems Integration Approach to Creating Embodied Biomimetic Models of Active Vision. In R. Groß, L. Alboul, C. Melhuish, M. Witkowski, T. J. Prescott, & J. Penders (Eds.), Towards Autonomous Robotic Systems (Vol. 6856, pp. 372–373). Berlin, Heidelberg: Springer Berlin Heidelberg.
  • A. Cope, J.M. Chambers, D. Barr, P. Dudek, and K. N. Gurney (2010), Systems level model integration and embodiment: a case study with gaze control, Bernstein Conference on Computational Neuroscience 2010 (BCCN 2010). Berlin.
  • K. Brohan, A. Cope, and K.N. Gurney (2010), Robotic Implementation of Visual Attention Based on Reward Modulated self-Organised Map of Feature Space, EPIROB 2010. Orenas Slott, Sweden.
  • A. Cope, J.M. Chambers, K. Gurney (2009), Object-based biasing for attentional control of gaze: a comparison of biologically plausible mechanisms, BMC Neuroscience, 10, (1) 19

Invited talks:
  • SpineML and NineML. 2nd Workshop on Code Generation, Forschungszentrum Julich, December 6-9th 2016
  • Learning from the honeybee: tools and approaches for understanding neural systems. Neurosciences R&D Conference, Barcelona, December 4-5th 2015
  • Modelling the honeybee. Neural Dynamics Forum, University of Bristol, October 13rd 2015
  • Modelling Honeybee Vision at Multiple Levels of Detail. CNS 2015 workshop: Invertebrates as Models of Cognition, Prague, July 22-23rd 2015
  • Using web standards for code generation: XML based model translation via XSLT 1.0. INCF Workshop: Code Generation from Model Description Languages, Paris, December 8-9th 2014
  • Developing models of the honeybee visual system for embodiment in autonomous flying robots. Bernstein Conference workshop: Green Brain: How models of invertebrate brains can inform our understanding of cognition. September 22-23rd 2014
Conference talks:
  • A. Cope, C. Sabo, E. Yavuz, E. Vasiliki, K. Gurney, T. Nowotny, J. Marshall (2014) A computational modelling approach to understanding honeybee vision and cog- nition, 17th Congress of the International Union for the Study of Social Insects (IUSSI), 13-18 July 2014, Cairns, Australia,
  • A. Cope, K. Gurney (2011), A biologically based model of active vision, AISB’11 Convention, York.