David Malcolm Halliday

Search results

• 2019

  Autonomous Learning Paradigm for Spiking Neural Networks

  Liu, J., McDaid, L. J., Harkin, J., Karim, S., Johnson, A. P., Halliday, D. M., Tyrrell, A. M., Timmis, J., Millard, A. G. & Hilder, J., 17 Sept 2019, p. 737-744. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
• 2017

  The Pi-puck extension board: a Raspberry Pi interface for the e-puck robot platform

  Millard, A. G., Joyce, R. A., Hilder, J. A., Fleseriu, C., Newbrook, L., Li, W., McDaid, L. & Halliday, D. M., Sept 2017.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File
• 2016

  An FPGA-based Hardware-Efficient Fault-Tolerant Astrocyte-Neuron Network

  Johnson, A. P., Halliday, D. M., Millard, A. G., Tyrrell, A. M., Timmis, J., Liu, J., Harkin, J., McDaid, L. & Karim, S., 2016, (Accepted/In press).

  Research output: Contribution to conference › Paper › peer-review

• 2008

  Hippocampus-Inspired Spiking Neural Network on FPGA

  Mokhtar, M., Halliday, D. M. & Tyrrell, A. M., 2008, p. 362-371. 10 p.

  Research output: Contribution to conference › Paper › peer-review