David M. Halliday
Orcid: 0000-0001-9957-0983
According to our database1,
David M. Halliday
authored at least 41 papers
between 1986 and 2020.
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Bibliography
2020
Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality.
NeuroImage, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence.
NeuroImage, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
2018
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems.
Frontiers Robotics AI, 2018
Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018
A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks.
Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs.
Proceedings of the International Conference on Field Programmable Technology, 2017
Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2013
Reducing the effect of correlated brain sources in MEG using a linearly constrained spatial filter based on Minimum Norm.
Proceedings of the 2013 Asilomar Conference on Signals, 2013
2011
Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture.
Evol. Comput., 2011
2009
In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN).
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the Simulated Evolution and Learning, 7th International Conference, 2008
Proceedings of the Evolvable Systems: From Biology to Hardware, 2008
Proceedings of the Evolvable Systems: From Biology to Hardware, 2008
Developing neural structure of two agents that play checkers using cartesian genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
IEEE Trans. Evol. Comput., 2007
Single-Trial Multiwavelet Coherence in Application to Neurophysiological Time Series.
IEEE Trans. Biomed. Eng., 2007
Genet. Program. Evolvable Mach., 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
2006
Neural spike train synchronization indices: definitions, interpretations, and applications.
IEEE Trans. Biomed. Eng., 2006
A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2004
Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input.
Neurocomputing, 2004
2003
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003
2001
Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001
2000
Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth.
Neural Comput., 2000
1998
Comput. Biol. Medicine, 1998
1986
Application of point-process system identification techniques to complex physiological systems.
PhD thesis, 1986