Measuring directed functional connectivity using non-parametric directionality analysis: Validation and comparison with non-parametric Granger Causality.

David M. Halliday

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. 116796 2020 218 NeuroImage https://doi.org/10.1016/j.neuroimage.2020.116796 https://www.wikidata.org/entity/Q93181817 db/journals/neuroimage/neuroimage218.html#WestHBFL20

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. 350-360 2019 191 NeuroImage https://doi.org/10.1016/j.neuroimage.2019.02.054 https://www.wikidata.org/entity/Q92009020 db/journals/neuroimage/neuroimage191.html#SpeddenJTJHLNG19

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. 865-875 2019 30 IEEE Trans. Neural Networks Learn. Syst. 3 https://doi.org/10.1109/TNNLS.2018.2854291 https://www.wikidata.org/entity/Q90721140 db/journals/tnn/tnn30.html#LiuMHKJMHHTT19

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. 737-744 2019 ICANN (1) https://doi.org/10.1007/978-3-030-30487-4_57 conf/icann/2019-1 db/conf/icann/icann2019-1.html#LiuMHKJHTTMH19

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. 2018 5 Frontiers Robotics AI https://doi.org/10.3389/frobt.2018.00087 https://www.wikidata.org/entity/Q129468041 db/journals/firai/firai5.html#MillardRJAJHMH18 87

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. 687-699 2018 65-I IEEE Trans. Circuits Syst. I Regul. Pap. 2 https://doi.org/10.1109/TCSI.2017.2726763 https://www.wikidata.org/entity/Q60473517 db/journals/tcas/tcasI65.html#JohnsonLMKTHTMH18

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. 1-5 2018 ISCAS https://doi.org/10.1109/ISCAS.2018.8351512 conf/iscas/2018 db/conf/iscas/iscas2018.html#KarimHMGLHTTMJ18 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. 1076-1083 2018 SSCI https://doi.org/10.1109/SSCI.2018.8628710 conf/ssci/2018 db/conf/ssci/ssci2018.html#JohnsonLMKTHTMH18 Yaoru Yang David M. Halliday A Unified Framework of Third Order Time and Frequency Domain Analysis for Neural Spike Trains. 707-711 2018 SSP https://doi.org/10.1109/SSP.2018.8450717 conf/ssp/2018 db/conf/ssp/ssp2018.html#YangH18 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. 49-54 2018 VLSID https://doi.org/10.1109/VLSID.2018.36 https://doi.ieeecomputersociety.org/10.1109/VLSID.2018.36 conf/vlsid/2018 db/conf/vlsid/vlsid2018.html#JohnsonLMKTHTMH18 Sopapun Suwansawang David M. Halliday Time-frequency based Coherence and Phase Locking Value Analysis of Human Locomotion Data using Generalized Morse Wavelets. 34-41 2017 BIOSIGNALS https://doi.org/10.5220/0006111800340041 conf/biostec/2017bs db/conf/biostec/biosignals2017.html#SuwansawangH17 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. 195-198 2017 FPT https://doi.org/10.1109/FPT.2017.8280139 conf/fpt/2017 db/conf/fpt/fpt2017.html#JohnsonLMKTHTMH17 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. 384-392 2017 ICONIP (6) https://doi.org/10.1007/978-3-319-70136-3_41 https://www.wikidata.org/entity/Q60473545 conf/iconip/2017-6 db/conf/iconip/iconip2017-6.html#LiuMHWKJMHTT17 Alan G. Millard Russell Joyce James A. Hilder Cristian Fleseriu Leonard Newbrook Wei Li 0079 Liam McDaid David M. Halliday The Pi-puck extension board: A raspberry Pi interface for the e-puck robot platform. 741-748 2017 IROS https://doi.org/10.1109/IROS.2017.8202233 conf/iros/2017 db/conf/iros/iros2017.html#MillardJHFNLMH17 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. 421-426 2017 ISVLSI https://doi.org/10.1109/ISVLSI.2017.80 https://doi.ieeecomputersociety.org/10.1109/ISVLSI.2017.80 https://www.wikidata.org/entity/Q60473524 conf/isvlsi/2017 db/conf/isvlsi/isvlsi2017.html#KarimHMGLHTTMJ17 Junxiu Liu Jim Harkin Liam McDaid David M. Halliday Andy M. Tyrrell Jon Timmis Self-repairing mobile robotic car using astrocyte-neuron networks. 1379-1386 2016 IJCNN https://doi.org/10.1109/IJCNN.2016.7727359 https://www.wikidata.org/entity/Q60473567 conf/ijcnn/2016 db/conf/ijcnn/ijcnn2016.html#LiuHMHTT16 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. 1-8 2016 SSCI https://doi.org/10.1109/SSCI.2016.7850175 https://www.wikidata.org/entity/Q60473522 conf/ssci/2016 db/conf/ssci/ssci2016.html#JohnsonHMTTLHMK16 Ibrahim Ozturk David M. Halliday Mapping spatio-temporally encoded patterns by reward-modulated STDP in Spiking neurons. 1-8 2016 SSCI https://doi.org/10.1109/SSCI.2016.7850248 conf/ssci/2016 db/conf/ssci/ssci2016.html#OzturkH16 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. 1828-1832 2013 ACSSC https://doi.org/10.1109/ACSSC.2013.6810618 conf/acssc/2013 db/conf/acssc/acssc2013.html#SanchezH13

Gul Muhammad Khan Julian F. Miller David M. Halliday Evolution of Cartesian Genetic Programs for Development of Learning Neural Architecture. 469-523 2011 19 Evol. Comput. 3 https://doi.org/10.1162/EVCO_a_00043 https://www.wikidata.org/entity/Q51567591 db/journals/ec/ec19.html#KhanMH11

Gul Muhammad Khan Julian Francis Miller David M. Halliday In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN). 574-581 2009 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2009.4982997 conf/cec/2009 db/conf/cec/cec2009.html#KhanMH09 Gul Muhammad Khan Julian Francis Miller David M. Halliday Developing neural structure of two agents that play checkers using cartesian genetic programming. 2169-2174 2008 GECCO (Companion) https://doi.org/10.1145/1388969.1389042 conf/gecco/2008c db/conf/gecco/gecco2008c.html#KhanMH08 Gul Muhammad Khan Julian Francis Miller David M. Halliday Coevolution of Neuro-developmental Programs That Play Checkers. 352-361 2008 ICES https://doi.org/10.1007/978-3-540-85857-7_31 conf/ices/2008 db/conf/ices/ices2008.html#KhanMH08 Maizura Mokhtar David M. Halliday Andy M. Tyrrell Hippocampus-Inspired Spiking Neural Network on FPGA. 362-371 2008 ICES https://doi.org/10.1007/978-3-540-85857-7_32 conf/ices/2008 db/conf/ices/ices2008.html#MokhtarHT08 Gul Muhammad Khan Julian Francis Miller David M. Halliday Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network. 11-20 2008 SEAL https://doi.org/10.1007/978-3-540-89694-4_2 conf/seal/2008 db/conf/seal/seal2008.html#KhanMH08

M. Griffin David M. Halliday Temporal sub units in dendritic trees. 172-178 2007 87 Biosyst. 2-3 https://doi.org/10.1016/j.biosystems.2006.09.011 https://www.wikidata.org/entity/Q94497469 db/journals/biosystems/biosystems87.html#GriffinH07

Stephen L. Smith 0002 Patrick Gaughan David M. Halliday Quan Ju Nabil M. Aly Jeremy R. Playfer Diagnosis of Parkinson's disease using evolutionary algorithms. 433-447 2007 8 Genet. Program. Evolvable Mach. 4 https://doi.org/10.1007/s10710-007-9043-9 db/journals/gpem/gpem8.html#SmithGHJAP07

John-Stuart Brittain David M. Halliday Bernard A. Conway Jens Bo Nielsen Single-Trial Multiwavelet Coherence in Application to Neurophysiological Time Series. 854-862 2007 54 IEEE Trans. Biomed. Eng. 5 https://doi.org/10.1109/TBME.2006.889185 https://www.wikidata.org/entity/Q50998851 db/journals/tbe/tbe54.html#BrittainHCN07

Will Barker David M. Halliday Yann Thoma Eduardo Sanchez Gianluca Tempesti Andrew M. Tyrrell Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue. 666-684 2007 11 IEEE Trans. Evol. Comput. 5 https://doi.org/10.1109/TEVC.2007.896690 https://www.wikidata.org/entity/Q58361001 db/journals/tec/tec11.html#BarkerHTSTT07

Gul Muhammad Khan Julian Francis Miller David M. Halliday Coevolution of intelligent agents using cartesian genetic programming. 269-276 2007 conf/gecco/2007 GECCO https://doi.org/10.1145/1276958.1277013 db/conf/gecco/gecco2007.html#KhanMH07 Gul Muhammad Khan Julian F. Miller David M. Halliday A developmental model of neural computation using cartesian genetic programming. 2535-2542 2007 conf/gecco/2007c GECCO (Companion) https://doi.org/10.1145/1274000.1274022 db/conf/gecco/gecco2007c.html#KhanMH07a Maizura Mokhtar David M. Halliday Andy M. Tyrrell Hippocampus Neurons and Place Cells/Place Field Representation to Provide Path Navigation. 795-800 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371059 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#MokhtarHT07 Maizura Mokhtar David M. Halliday Andy M. Tyrrell Autonomous Navigational Controller Inspired by the Hippocampus. 813-818 2007 IJCNN https://doi.org/10.1109/IJCNN.2007.4371062 conf/ijcnn/2007 db/conf/ijcnn/ijcnn2007.html#MokhtarHT07a

David M. Halliday Jay R. Rosenberg P. Breeze Bernard A. Conway Neural spike train synchronization indices: definitions, interpretations, and applications. 1056-1066 2006 53 IEEE Trans. Biomed. Eng. 6 https://doi.org/10.1109/TBME.2006.873392 https://www.wikidata.org/entity/Q48505497 db/journals/tbe/tbe53.html#HallidayRBC06

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. 2958-2965 2006 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2006.1688681 conf/cec/2006 db/conf/cec/cec2006.html#AllenHT06

M. Griffin David M. Halliday Axial current reversal promotes synchronous correlation between dendritic membrane potentials during large-scale synaptic input. 423-430 2004 58-60 Neurocomputing https://doi.org/10.1016/j.neucom.2004.01.076 db/journals/ijon/ijon58.html#GriffinH04

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. 165-173 https://doi.org/10.1007/3-540-36553-2_15 2003 conf/ices/2003 ICES db/conf/ices/ices2003.html#ErikssonTMTLHRMV03 David M. Halliday Temporal Coding in Neuronal Populations in the Presence of Axonal and Dendritic Conduction Time Delays. 285-295 2001 conf/neuroscience/2001 Emergent Neural Computational Architectures Based on Neuroscience https://doi.org/10.1007/3-540-44597-8_21 db/conf/neuroscience/neuroscience2001.html#Halliday01

David M. Halliday Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth. 693-707 2000 12 Neural Comput. 3 db/journals/neco/neco12.html#Halliday00 https://doi.org/10.1162/089976600300015754 https://www.wikidata.org/entity/Q73685561

David M. Halliday Generation and characterization of correlated spike trains. 143-152 1998 28 Comput. Biol. Medicine 2 https://doi.org/10.1016/S0010-4825(98)00003-1 https://www.wikidata.org/entity/Q47908358 db/journals/cbm/cbm28.html#Halliday98

David M. Halliday Application of point-process system identification techniques to complex physiological systems. 1986 University of Glasgow, UK http://theses.gla.ac.uk/2819/ https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375456 British Library, EThOS David Allen Nabil M. Aly Charlotte Arndt Will Barker P. Breeze Steven L. Bressler John-Stuart Brittain Bernard A. Conway Jan Eriksson Simon F. Farmer Cristian Fleseriu Bryan Gardiner Patrick Gaughan Svend Sparre Geertsen M. Griffin Jim Harkin James A. Hilder Nicole Jacqueline Jensen Peter Jensen Alistair M. Jewers Anju P. Johnson Russell Joyce Quan Ju Shvan Karim Gul Muhammad Khan Wei Li 0079 Ken Lindsay Vladimir Litvak Junxiu Liu Jesper Lundbye-Jensen Liam McDaid Alan G. Millard Julian Francis MillerJulian F. Miller Andrew Mitchell Maizura Mokhtar Juan Manuel Moreno Leonard Newbrook Jens Bo Nielsen Ibrahim Ozturk Jeremy R. Playfer Richard Redpath Jay R. Rosenberg Eduardo Sanchez J. A. Sanchez Stephen L. Smith 0002 Meaghan Elizabeth Spedden Sopapun Suwansawang Gianluca Tempesti Cecilie Ulbæk Terkildsen Yann Thoma Jonathan TimmisJon Timmis Oriol Torres Gayle Tucker Andrew M. TyrrellAndy M. Tyrrell Alessandro E. P. Villa John J. Wade Timothy O. West Yaoru Yang