Application of point-process system identification techniques to complex physiological systems. - David M. Halliday (1986)

Generation and characterization of correlated spike trains. - David M. Halliday (Comput. Biol. Medicine, 1998)

Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth. - David M. Halliday (Neural Comput., 2000)

Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays. - David M. Halliday (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Spiking Neural Networks for Reconfigurable POEtic Tissue. - Jan Eriksson; Oriol Torres; Andrew Mitchell; Gayle Tucker; Ken Lindsay; David M. Halliday; Jay R. Rosenberg; Juan Manuel Moreno; Alessandro E. P. Villa (ICES, 2003)

Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input. - M. Griffin; David M. Halliday (Neurocomputing, 2004)

A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm. - David Allen; David M. Halliday; Andy M. Tyrrell (IEEE Congress on Evolutionary Computation, 2006)

Neural spike train synchronization indices: definitions, interpretations, and applications. - David M. Halliday; Jay R. Rosenberg; P. Breeze; Bernard A. Conway (IEEE Trans. Biomed. Eng., 2006)

Coevolution of intelligent agents using cartesian genetic programming. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (GECCO, 2007)

A developmental model of neural computation using cartesian genetic programming. - Gul Muhammad Khan; Julian F. Miller; David M. Halliday (GECCO (Companion), 2007)

Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation. - Maizura Mokhtar; David M. Halliday; Andy M. Tyrrell (IJCNN, 2007)

Autonomous Navigational Controller Inspired by the Hippocampus. - Maizura Mokhtar; David M. Halliday; Andy M. Tyrrell (IJCNN, 2007)

Temporal sub units in dendritic trees. - M. Griffin; David M. Halliday (Biosyst., 2007)

Diagnosis of Parkinson's disease using evolutionary algorithms. - Stephen L. Smith 002; Patrick Gaughan; David M. Halliday; Quan Ju; Nabil M. Aly; Jeremy R. Playfer (Genet. Program. Evolvable Mach., 2007)

Single-Trial Multiwavelet Coherence in Application to Neurophysiological Time Series. - John-Stuart Brittain; David M. Halliday; Bernard A. Conway; Jens Bo Nielsen (IEEE Trans. Biomed. Eng., 2007)

Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue. - Will Barker; David M. Halliday; Yann Thoma; Eduardo Sanchez; Gianluca Tempesti; Andrew M. Tyrrell (IEEE Trans. Evol. Comput., 2007)

Developing neural structure of two agents that play checkers using cartesian genetic programming. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (GECCO (Companion), 2008)

Coevolution of Neuro-developmental Programs That Play Checkers. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (ICES, 2008)

Hippocampus-Inspired Spiking Neural Network on FPGA. - Maizura Mokhtar; David M. Halliday; Andy M. Tyrrell (ICES, 2008)

Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network. - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (SEAL, 2008)

In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). - Gul Muhammad Khan; Julian Francis Miller; David M. Halliday (IEEE Congress on Evolutionary Computation, 2009)

Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture. - Gul Muhammad Khan; Julian F. Miller; David M. Halliday (Evol. Comput., 2011)

Reducing the effect of correlated brain sources in MEG using a linearly constrained spatial filter based on Minimum Norm. - J. A. Sanchez; David M. Halliday (ACSSC, 2013)

Self-repairing mobile robotic car using astrocyte-neuron networks. - Junxiu Liu; Jim Harkin; Liam McDaid; David M. Halliday; Andy M. Tyrrell; Jon Timmis (IJCNN, 2016)

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network. - Anju P. Johnson; David M. Halliday; Alan G. Millard; Andy M. Tyrrell; Jon Timmis; Junxiu Liu; Jim Harkin; Liam McDaid; Shvan Karim (SSCI, 2016)

Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons. - Ibrahim Ozturk; David M. Halliday (SSCI, 2016)

Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets. - Sopapun Suwansawang; David M. Halliday (BIOSIGNALS, 2017)

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (FPT, 2017)

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks. - 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 (ICONIP (6), 2017)

The Pi-puck extension board: A raspberry Pi interface for the e-puck robot platform. - Alan G. Millard; Russell Joyce; James A. Hilder; Cristian Fleseriu; Leonard Newbrook; Wei Li 079; Liam McDaid; David M. Halliday (IROS, 2017)

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISVLSI, 2017)

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu; David M. Halliday; Andy M. Tyrrell; Jon Timmis; Alan G. Millard; Anju P. Johnson (ISCAS, 2018)

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (SSCI, 2018)

A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains. - Yaoru Yang; David M. Halliday (SSP, 2018)

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (VLSID, 2018)

ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems. - Alan G. Millard; Richard Redpath; Alistair M. Jewers; Charlotte Arndt; Russell Joyce; James A. Hilder; Liam McDaid; David M. Halliday (Frontiers Robotics AI, 2018)

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective. - Anju P. Johnson; Junxiu Liu; Alan G. Millard; Shvan Karim; Andy M. Tyrrell; Jim Harkin; Jon Timmis; Liam McDaid; David M. Halliday (IEEE Trans. Circuits Syst. I Regul. Pap., 2018)

Autonomous Learning Paradigm for Spiking Neural Networks. - 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 (ICANN (1), 2019)

The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence. - Meaghan Elizabeth Spedden; Peter Jensen; Cecilie Ulbæk Terkildsen; Nicole Jacqueline Jensen; David M. Halliday; Jesper Lundbye-Jensen; Jens Bo Nielsen; Svend Sparre Geertsen (NeuroImage, 2019)

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network. - 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 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality. - Timothy O. West; David M. Halliday; Steven L. Bressler; Simon F. Farmer; Vladimir Litvak (NeuroImage, 2020)