David M. Halliday

41 papers A 2B 5C 1Misc 2Journal 14Unranked 16
YearRankTypeTitle / Venue / Authors
2020 J jnl
Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality.
NeuroImage
Timothy O. West, David M. Halliday, Steven L. Bressler, Simon F. Farmer, Vladimir Litvak
2019 — conf
Autonomous Learning Paradigm for Spiking Neural Networks.
ICANN (1)
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
2019 J jnl
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network.
IEEE Trans. Neural Networks Learn. Syst.
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
2019 J jnl
The development of functional and directed corticomuscular connectivity during tonic ankle muscle contraction across childhood and adolescence.
NeuroImage
Meaghan Elizabeth Spedden, Peter Jensen, Cecilie Ulbæk Terkildsen, Nicole Jacqueline Jensen, David M. Halliday, Jesper Lundbye-Jensen, Jens Bo Nielsen, Svend Sparre Geertsen
2018 — conf
A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains.
SSP
Yaoru Yang, David M. Halliday
2018 J jnl
ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems.
Frontiers Robotics AI
Alan G. Millard, Richard Redpath, Alistair M. Jewers, Charlotte Arndt, Russell Joyce, James A. Hilder, Liam McDaid, David M. Halliday
2018 C conf
FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware.
ISCAS
Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson
2018 Misc conf
Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs.
VLSID
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
2018 J jnl
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective.
IEEE Trans. Circuits Syst. I Regul. Pap.
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
2018 — conf
Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks.
SSCI
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
2017 — conf
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks.
ISVLSI
Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu, David M. Halliday, Andy M. Tyrrell, Jon Timmis, Alan G. Millard, Anju P. Johnson
2017 — conf
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs.
FPT
Anju P. Johnson, Junxiu Liu, Alan G. Millard, Shvan Karim, Andy M. Tyrrell, Jim Harkin, Jon Timmis, Liam McDaid, David M. Halliday
2017 — conf
Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks.
ICONIP (6)
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
2017 A conf
The Pi-puck extension board: A raspberry Pi interface for the e-puck robot platform.
IROS
Alan G. Millard, Russell Joyce, James A. Hilder, Cristian Fleseriu, Leonard Newbrook, Wei Li, Liam McDaid, David M. Halliday
2017 — conf
Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets.
BIOSIGNALS
Sopapun Suwansawang, David M. Halliday
2016 — conf
An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network.
SSCI
Anju P. Johnson, David M. Halliday, Alan G. Millard, Andy M. Tyrrell, Jon Timmis, Junxiu Liu, Jim Harkin, Liam McDaid, Shvan Karim
2016 — conf
Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons.
SSCI
Ibrahim Ozturk, David M. Halliday
2016 B conf
Self-repairing mobile robotic car using astrocyte-neuron networks.
IJCNN
Junxiu Liu, Jim Harkin, Liam McDaid, David M. Halliday, Andy M. Tyrrell, Jon Timmis
2013 Misc conf
Reducing the effect of correlated brain sources in MEG using a linearly constrained spatial filter based on Minimum Norm.
ACSSC
J. A. Sanchez, David M. Halliday
2011 J jnl
Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture.
Evol. Comput.
Gul Muhammad Khan, Julian F. Miller, David M. Halliday
2009 B conf
In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN).
IEEE Congress on Evolutionary Computation
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2008 — conf
Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network.
SEAL
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2008 — conf
Coevolution of Neuro-developmental Programs That Play Checkers.
ICES
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2008 — conf
Developing neural structure of two agents that play checkers using cartesian genetic programming.
GECCO (Companion)
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2008 — conf
Hippocampus-Inspired Spiking Neural Network on FPGA.
ICES
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
2007 — conf
A developmental model of neural computation using cartesian genetic programming.
GECCO (Companion)
Gul Muhammad Khan, Julian F. Miller, David M. Halliday
2007 B conf
Autonomous Navigational Controller Inspired by the Hippocampus.
IJCNN
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
2007 A conf
Coevolution of intelligent agents using cartesian genetic programming.
GECCO
Gul Muhammad Khan, Julian Francis Miller, David M. Halliday
2007 J jnl
Diagnosis of Parkinson's disease using evolutionary algorithms.
Genet. Program. Evolvable Mach.
Stephen L. Smith, Patrick Gaughan, David M. Halliday, Quan Ju, Nabil M. Aly, Jeremy R. Playfer
2007 J jnl
Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue.
IEEE Trans. Evol. Comput.
Will Barker, David M. Halliday, Yann Thoma, Eduardo Sanchez, Gianluca Tempesti, Andrew M. Tyrrell
2007 B conf
Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation.
IJCNN
Maizura Mokhtar, David M. Halliday, Andy M. Tyrrell
2007 J jnl
Single-Trial Multiwavelet Coherence in Application to Neurophysiological Time Series.
IEEE Trans. Biomed. Eng.
John-Stuart Brittain, David M. Halliday, Bernard A. Conway, Jens Bo Nielsen
2007 J jnl
Temporal sub units in dendritic trees.
Biosyst.
M. Griffin, David M. Halliday
2006 B conf
A Hybrid Bio-inspired System: Hardware Spiking Neural Network Incorporating Hebbian Learning with Microprocessor Based Evolutionary Control Algorithm.
IEEE Congress on Evolutionary Computation
David Allen, David M. Halliday, Andy M. Tyrrell
2006 J jnl
Neural spike train synchronization indices: definitions, interpretations, and applications.
IEEE Trans. Biomed. Eng.
David M. Halliday, Jay R. Rosenberg, P. Breeze, Bernard A. Conway
2004 J jnl
Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input.
Neurocomputing
M. Griffin, David M. Halliday
2003 — conf
Spiking Neural Networks for Reconfigurable POEtic Tissue.
ICES
Jan Eriksson, Oriol Torres, Andrew Mitchell, Gayle Tucker, Ken Lindsay, David M. Halliday, Jay R. Rosenberg, Juan Manuel Moreno, Alessandro E. P. Villa
2001 — conf
Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays.
Emergent Neural Computational Architectures Based on Neuroscience
David M. Halliday
2000 J jnl
Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth.
Neural Comput.
David M. Halliday
1998 J jnl
Generation and characterization of correlated spike trains.
Comput. Biol. Medicine
David M. Halliday
1986 — —
Application of point-process system identification techniques to complex physiological systems.
David M. Halliday