Alexander Cope
Department of Computer Science
Research Fellow
a.cope@sheffield.ac.uk
+44 114 222 1890
+44 114 222 1890
Regent Court (DCS)
Full contact details
Alexander Cope
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Publications
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Journal articles
- Abstract concept learning in a simple neural network inspired by the insect brain.. PLoS Computational Biology, 14(9). View this article in WRRO
- Relationship between brain plasticity, learning and foraging performance in honey bees.. PLoS One, 13(4). View this article in WRRO
- Integrating Brain and Biomechanical Models—A New Paradigm for Understanding Neuro-muscular Control. Frontiers in Neuroscience, 12, 1-33. View this article in WRRO
- A lightweight, inexpensive robotic system for insect vision.. Arthropod Struct Dev, 46(5), 689-702. View this article in WRRO
- A computational model of the integration of landmarks and motion in the insect central complex.. PLoS ONE, 12(2). View this article in WRRO
- SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.. Neuroinformatics, 15(1), 25-40. View this article in WRRO
- A Model for an Angular Velocity-Tuned Motion Detector Accounting for Deviations in the Corridor-Centering Response of the Bee. PLoS Computational Biology, 12(5). View this article in WRRO
- From Model Specification to Simulation of Biologically Constrained Networks of Spiking Neurons. Neuroinformatics, 12(2), 307-323. View this article in WRRO
Conference proceedings papers
- An Inexpensive Flying Robot Design for Embodied Robotics Research,. 2017 International Joint Conference on Neural Networks (IJCNN) (pp 4171-4178), 15 May 2017 - 19 May 2017. View this article in WRRO
- Bio-Inspired Visual Navigation for a Quadcopter using Optic Flow. AIAA Infotech @ Aerospace View this article in WRRO
- A neural model of the optomotor system accounts for ordered responses to decreasing stimulus spatial frequencies. BMC Neuroscience, Vol. 16(S1)
- More flexibility for code generation with GeNN v2.1. BMC Neuroscience, Vol. 16(S1)
- The SpineML toolchain: enabling computational neuroscience through flexible tools for creating, sharing, and simulating neural models. BMC Neuroscience, Vol. 15(S1)
- SpineML and Brian 2.0 interfaces for using GPU enhanced Neuronal Networks (GeNN). BMC Neuroscience, Vol. 15(S1)
- Abstract concept learning in a simple neural network inspired by the insect brain.. PLoS Computational Biology, 14(9). View this article in WRRO