David M. Halliday

ORCID

Publication Activity (10 Years)

Years Active: 1998-2020
Publications (10 Years): 18

Top Venues

SSCI

NeuroImage

IEEE Trans. Circuits Syst. I Regul. Pap.

FPT

University of Glasgow, UK (PHD)

Education History

University of Glasgow, UK

PHD

Publications

Timothy O. West, David M. Halliday, Steven L. Bressler, Simon F. Farmer, Vladimir Litvak
Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality. NeuroImage 218 (2020)
Meaghan Elizabeth Spedden, Peter Jensen, Cecilie Ulbæk Terkildsen, Nicole Jacqueline Jensen, David M. Halliday, Jesper Lundbye-Jensen, Jens Bo Nielsen, Svend Sparre Geertsen
The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence. NeuroImage 191 (2019)
Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, Alan G. Millard, James A. Hilder, David M. Halliday, Andy M. Tyrrell, Jon Timmis
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Junxiu Liu, Liam McDaid, Jim Harkin, Shvan Karim, Anju P. Johnson, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, James A. Hilder
Autonomous Learning Paradigm for Spiking Neural Networks. ICANN (1) (2019)
Alan G. Millard, Richard Redpath, Alistair M. Jewers, Charlotte Arndt, Russell Joyce, James A. Hilder, Liam McDaid, David M. Halliday
ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems. Frontiers Robotics AI 5 (2018)
Yaoru Yang, David M. Halliday
A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains. SSP (2018)
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. VLSI Design (2018)
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. SSCI (2018)
Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson
FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. ISCAS (2018)
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. (2) (2018)
Sopapun Suwansawang, David M. Halliday
Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets. BIOSIGNALS (2017)
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs. FPT (2017)
Junxiu Liu, Liam McDaid, Jim Harkin, John J. Wade, Shvan Karim, Anju P. Johnson, Alan G. Millard, David M. Halliday, Andy M. Tyrrell, Jon Timmis
Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. ICONIP (6) (2017)
Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. ISVLSI (2017)
Alan G. Millard, Russell Joyce, James A. Hilder, Cristian Fleseriu, Leonard Newbrook, Wei Li, Liam McDaid, David M. Halliday
The Pi-puck extension board: A raspberry Pi interface for the e-puck robot platform. IROS (2017)
Ibrahim Ozturk, David M. Halliday
Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons. SSCI (2016)
Anju P. Johnson, David M. Halliday, Alan G. Millard, Andy M. Tyrrell, Jon Timmis, Junxiu Liu, Jim Harkin, Liam McDaid, Shvan Karim
An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. SSCI (2016)
Junxiu Liu, Jim Harkin, Liam McDaid, David M. Halliday, Andy M. Tyrrell, Jon Timmis
Self-repairing mobile robotic car using astrocyte-neuron networks. IJCNN (2016)
J. A. Sanchez, David M. Halliday
Reducing the effect of correlated brain sources in MEG using a linearly constrained spatial filter based on Minimum Norm. ACSSC (2013)
Gul Muhammad Khan, Julian F. Miller, David M. Halliday
Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture. Evol. Comput. 19 (3) (2011)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). IEEE Congress on Evolutionary Computation (2009)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network. SEAL (2008)
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
Hippocampus-Inspired Spiking Neural Network on FPGA. ICES (2008)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
Coevolution of Neuro-developmental Programs That Play Checkers. ICES (2008)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
Developing neural structure of two agents that play checkers using cartesian genetic programming. GECCO (Companion) (2008)
Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, Jeremy R. Playfer
Diagnosis of Parkinson's disease using evolutionary algorithms. Genet. Program. Evolvable Mach. 8 (4) (2007)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
Coevolution of intelligent agents using cartesian genetic programming. GECCO (2007)
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
Autonomous Navigational Controller Inspired by the Hippocampus. IJCNN (2007)
Will Barker, David M. Halliday, Yann Thoma, Eduardo Sanchez, Gianluca Tempesti, Andrew M. Tyrrell
Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue. IEEE Trans. Evol. Comput. 11 (5) (2007)
Gul Muhammad Khan, Julian F. Miller, David M. Halliday
A developmental model of neural computation using cartesian genetic programming. GECCO (Companion) (2007)
M. Griffin, David M. Halliday
Temporal sub units in dendritic trees. Biosyst. 87 (2-3) (2007)
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation. IJCNN (2007)
John-Stuart Brittain, David M. Halliday, Bernard A. Conway, Jens Bo Nielsen
Single-Trial Multiwavelet Coherence in Application to Neurophysiological Time Series. IEEE Trans. Biomed. Eng. 54 (5) (2007)
David Allen, David M. Halliday, Andy M. Tyrrell
A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm. IEEE Congress on Evolutionary Computation (2006)
David M. Halliday, Jay R. Rosenberg, P. Breeze, Bernard A. Conway
Neural spike train synchronization indices: definitions, interpretations, and applications. IEEE Trans. Biomed. Eng. 53 (6) (2006)
M. Griffin, David M. Halliday
Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input. Neurocomputing (2004)
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle Tucker, Ken Lindsay, David M. Halliday, Jay R. Rosenberg, Juan Manuel Moreno, Alessandro E. P. Villa
Spiking Neural Networks for Reconfigurable POEtic Tissue. ICES (2003)
David M. Halliday
Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays. Emergent Neural Computational Architectures Based on Neuroscience (2001)
David M. Halliday
Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth. Neural Comput. 12 (3) (2000)
David M. Halliday
Generation and characterization of correlated spike trains. Comput. Biol. Medicine 28 (2) (1998)

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Publication Activity (10 Years)

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David M. Halliday