Items where authors include "Halliday, David M."
Up a levelArticle
Millard, Alan G. orcid.org/0000-0002-4424-5953, Redpath, Richard, Jewers, Alistair et al. (5 more authors) (2018) ARDebug : An augmented reality tool for analysing and debugging swarm robotic systems. Frontiers Robotics AI. 87. ISSN 2296-9144
Brittain, John-Stuart, Halliday, David M. orcid.org/0000-0001-9957-0983, Conway, Bernard A. et al. (1 more author) (2007) Single-trial multiwavelet coherence in application to neurophysiological time series. IEEE Transactions on Biomedical Engineering. pp. 854-862. ISSN 0018-9294
Conference or Workshop Item
Liu, Junxiu, McDaid, Liam J., Harkin, Jim et al. (7 more authors) (2019) Autonomous Learning Paradigm for Spiking Neural Networks. In: Artificial Neural Networks and Machine Learning – ICANN 2019, 17-19 Sep 2019.
Proceedings Paper
Suwansawang, Sopapun and Halliday, David M. orcid.org/0000-0001-9957-0983 (2020) Wavelet-based method for coherence analysis with suppression of low frequency envelope modulation in non-stationary signals. In: 2020 8th International Electrical Engineering Congress, iEECON 2020. 8th International Electrical Engineering Congress, iEECON 2020, 04-06 Mar 2020. 2020 8th International Electrical Engineering Congress, iEECON 2020 . IEEE , THA .
Liu, Junxiu, Harkin, Jim, McDaid, Liam et al. (8 more authors) (2019) Bio-inspired Anomaly Detection for Low-cost Gas Sensors. In: 18th International Conference on Nanotechnology, NANO 2018. 18th International Conference on Nanotechnology, NANO 2018, 23-26 Jul 2018. Proceedings of the IEEE Conference on Nanotechnology . IEEE Computer Society , IRL .
Yang, Yaoru and Halliday, David M. orcid.org/0000-0001-9957-0983 (2018) A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains. In: 2018 IEEE Statistical Signal Processing Workshop, SSP 2018. 20th IEEE Statistical Signal Processing Workshop, SSP 2018, 10-13 Jun 2018. 2018 IEEE Statistical Signal Processing Workshop, SSP 2018 . IEEE , DEU , pp. 383-387.
Johnson, Anju P. orcid.org/0000-0002-7017-1644, Halliday, David M. orcid.org/0000-0001-9957-0983, Millard, Alan G. orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2017) An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. In: 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016. 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, 06-09 Dec 2016. IEEE , GRC .
Liu, Junxiu, Harkin, Jim, McDaid, Liam et al. (3 more authors) (2016) Self-repairing mobile robotic car using astrocyte-neuron networks. In: 2016 International Joint Conference on Neural Networks, IJCNN 2016. 2016 International Joint Conference on Neural Networks, IJCNN 2016, 24-29 Jul 2016. Proceedings of International Joint Conference on Neural Networks . IEEE , CAN , pp. 1379-1386.