Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning. - L. J. McDaid; T. Martin McGinnity; Liam P. Maguire (Inf. Sci., 1997)

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs. - J. J. Blake; Liam P. Maguire; B. Roche; T. Martin McGinnity; L. J. McDaid (Inf. Sci., 1998)

Predicting a Chaotic Time Series using Fuzzy Neural network. - Liam P. Maguire; B. Roche; T. Martin McGinnity; L. J. McDaid (Inf. Sci., 1998)

From a Fuzzy Flip-Flop to a MVL Flip-Flop. - Liam P. Maguire; T. Martin McGinnity; L. J. McDaid (ISMVL, 1999)

Modeling architectures for VLSI Implementations of Fuzzy Logic Systems. - B. Roche; T. Martin McGinnity; Liam P. Maguire; L. J. McDaid (Inf. Sci., 1999)

Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products. - Liam P. Maguire; Thomas Martin McGinnity; Liam McDaid (Microprocess. Microsystems, 1999)

Issues in the development of an integrated environment for embedded system design: Part B: design and implementation. - Liam P. Maguire; Thomas Martin McGinnity; Liam McDaid (Microprocess. Microsystems, 1999)

Signalling techniques and their effect on neural network implementation sizes. - B. Roche; T. Martin McGinnity; Liam P. Maguire; L. J. McDaid (Inf. Sci., 2001)

VHDL-AMS code gneration from UML structural representations. - C. T. Carr; T. Martin McGinnity; L. J. McDaid (FDL, 2004)

Third order loose coupled hybrid intelligent system for machine vision applications. - Michael J. Callaghan; T. Martin McGinnity; L. J. McDaid (SMC (4), 2004)

Integration of UML and VHDL-AMS for analogue system modelling. - C. T. Carr; T. Martin McGinnity; L. J. McDaid (Formal Aspects Comput., 2004)

Evolving Task Specific Algorithms for Machine Vision Applications. - Michael J. Callaghan; T. Martin McGinnity; Liam McDaid (ICITA (1), 2005)

A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures. - Peter M. Kelly; T. Martin McGinnity; Liam P. Maguire; L. J. McDaid (IWANN, 2005)

A Time Multiplexing Architecture for Inter-neuron Communications. - Fergal Tuffy; Liam McDaid; T. Martin McGinnity; Jose Santos; Peter M. Kelly; Vunfu Wong Kwan; John Alderman (ICANN (1), 2006)

On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses. - Yajie Chen; Steve Hall; Liam McDaid; Octavian Buiu; Peter M. Kelly (IJCNN, 2006)

A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. - Thomas J. Strain; Liam McDaid; Liam P. Maguire; T. Martin McGinnity (IJCNN, 2006)

Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. - Fergal Tuffy; Liam McDaid; Vunfu Wong Kwan; John Alderman; T. Martin McGinnity; Peter M. Kelly; Jose A. Santos 001 (IJCNN, 2006)

A Silicon Synapse Based on a Charge Transfer Device for Spiking Neural Network Application. - Yajie Chen; Steve Hall; Liam McDaid; Octavian Buiu; Peter M. Kelly (ISNN (2), 2006)

A Biologically Plausible Neuron Circuit. - Thomas Dowrick; Steve Hall; Liam McDaid; Octavian Buiu; Peter M. Kelly (IJCNN, 2007)

Analog Spiking Neuron with Charge-Coupled Synapses. - Yajie Chen; Steve Hall; Liam McDaid; Octavian Buiu; Peter M. Kelly (World Congress on Engineering, 2007)

Inter-neuron communication strategies for spiking neural networks. - Fergal Tuffy; L. J. McDaid; Vunfu Wong Kwan; John Alderman; T. Martin McGinnity; Jose A. Santos 001; Peter M. Kelly; Heather M. Sayers (Neurocomputing, 2007)

Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks. - Jim Harkin; Fearghal Morgan; Steve Hall; Piotr Dudek; Thomas Dowrick; Liam McDaid (FPL, 2008)

Implementing Fuzzy Reasoning on a Spiking Neural Network. - Cornelius Glackin; Liam McDaid; Liam P. Maguire; Heather M. Sayers (ICANN (2), 2008)

A time multiplexed architecture for neural networks using quantum devices. - Peter M. Kelly; Liam McDaid; Fergal Tuffy; T. Martin McGinnity (ICECS, 2008)

A programmable facilitating synapse device. - Yajie Chen; Liam McDaid; Steve Hall; Peter M. Kelly (IJCNN, 2008)

SWAT: An unsupervised SNN training algorithm for classification problems. - John J. Wade; Liam McDaid; Jose A. Santos 001; Heather M. Sayers (IJCNN, 2008)

Spiking neuron models of the medial and lateral superior olive for sound localisation. - Julie A. Wall; Liam McDaid; Liam P. Maguire; T. Martin McGinnity (IJCNN, 2008)

On brain-inspired connectivity and hybrid network topologies. - Basheer A. M. Madappuram; Valeriu Beiu; Peter M. Kelly; Liam McDaid (NANOARCH, 2008)

A Solid-State Neuron for Spiking Neural Network Implementation. - Yajie Chen; Steve Hall; Liam McDaid; Octavian Buiu; Peter M. Kelly (Eng. Lett., 2008)

On Two-Layer Hierarchical Networks How Does the Brain Do This? - Valeriu Beiu; Basheer A. M. Madappuram; Peter M. Kelly; Liam McDaid (NanoNet, 2009)

Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices. - Peter M. Kelly; Fergal Tuffy; Valeriu Beiu; Liam McDaid (NanoNet, 2009)

Neuro inspired reconfigurable architecture for hardware/software co-design. - Arfan Ghani; Liam McDaid; Ammar Belatreche; Waqar Ahmed (SoCC, 2009)

A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks. - Jim Harkin; Fearghal Morgan; Liam McDaid; Steve Hall; Brian McGinley; Seamus Cawley (Int. J. Reconfigurable Comput., 2009)

An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations. - Snaider Carrillo; Jim Harkin; Liam McDaid; Sandeep Pande; Fearghal Morgan (ICES, 2010)

Application of biologically inspired neural oscillators to colour image segmentation. - Ammar Belatreche; Liam P. Maguire; T. Martin McGinnity; Arfan Ghani; Liam McDaid (IJCNN, 2010)

Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition. - Cornelius Glackin; Liam P. Maguire; Liam McDaid (IJCNN, 2010)

EMBRACE-SysC for analysis of NoC-based Spiking Neural Network architectures. - Sandeep Pande; Fearghal Morgan; Seamus Cawley; Brian McGinley; Snaider Carrillo; Jim Harkin; Liam McDaid (SoC, 2010)

Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. - Ammar Belatreche; Liam P. Maguire; T. Martin McGinnity; Liam McDaid; Arfan Ghani (Adv. Artif. Intell., 2010)

A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization. - Brendan P. Glackin; Julie A. Wall; Thomas Martin McGinnity; Liam P. Maguire; Liam McDaid (Frontiers Comput. Neurosci., 2010)

Case Study on a Self-Organizing Spiking Neural Network for Robot Navigation. - Eric Nichols; L. J. McDaid; Mia Nazmul Haque Siddique (Int. J. Neural Syst., 2010)

An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons. - Thomas J. Strain; L. J. McDaid; T. Martin McGinnity; Liam P. Maguire; Heather M. Sayers (Int. J. Neural Syst., 2010)

SWAT: A Spiking Neural Network Training Algorithm for Classification Problems. - John J. Wade; L. J. McDaid; Jose A. Santos 001; Heather M. Sayers (IEEE Trans. Neural Networks, 2010)

Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations. - Snaider Carrillo; Jim Harkin; Liam McDaid; Sandeep Pande; Seamus Cawley; Fearghal Morgan (ICANN (1), 2011)

Addressing the Hardware Resource Requirements of Network-on-chip based Neural Architectures. - Sandeep Pande; Fearghal Morgan; Seamus Cawley; Brian McGinley; Jim Harkin; Snaider Carrillo; Liam McDaid (IJCCI (NCTA), 2011)

Evaluating the training dynamics of a CMOS based synapse. - Arfan Ghani; Liam McDaid; Ammar Belatreche; Peter M. Kelly; Steve Hall; Thomas Dowrick; Shou Huang; John Marsland; Andy W. Smith (IJCNN, 2011)

Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. - Cornelius Glackin; Liam P. Maguire; Liam McDaid; John J. Wade (IJCNN, 2011)

Exploring retrograde signaling via astrocytes as a mechanism for self repair. - John J. Wade; Liam McDaid; Jim Harkin; Vincenzo Crunelli; J. A. Scott Kelso; Valeriu Beiu (IJCNN, 2011)

Hardware spiking neural network prototyping and application. - Seamus Cawley; Fearghal Morgan; Brian McGinley; Sandeep Pande; Liam McDaid; Snaider Carrillo; Jim Harkin (Genet. Program. Evolvable Mach., 2011)

Receptive field optimisation and supervision of a fuzzy spiking neural network. - Cornelius Glackin; Liam P. Maguire; Liam McDaid; Heather M. Sayers (Neural Networks, 2011)

On Two-Layer Brain-Inspired Hierarchical Topologies - A Rent's Rule Approach -. - Valeriu Beiu; Basheer A. M. Madappuram; Peter M. Kelly; Liam McDaid (Trans. High Perform. Embed. Archit. Compil., 2011)

Hierarchical Network-on-Chip and Traffic Compression for Spiking Neural Network Implementations. - Snaider Carrillo; Jim Harkin; L. J. McDaid; Sandeep Pande; Seamus Cawley; Brian McGinley; Fearghal Morgan (NOCS, 2012)

Self-repair in a Bidirectionally Coupled Astrocyte-Neuron (AN) System based on Retrograde Signaling. - John J. Wade; Liam McDaid; Jim Harkin; Vincenzo Crunelli; J. A. Scott Kelso (Frontiers Comput. Neurosci., 2012)

Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding. - Neil McDonnell; Snaider Carrillo; Jim Harkin; Liam McDaid (Int. J. Adapt. Resilient Auton. Syst., 2012)

Introduction. - Mia Nazmul Haque Siddique; Bernard Widrow; Filip Ponulak; L. J. McDaid (Int. J. Neural Syst., 2012)

Evaluating the generalisation capability of a CMOS based synapse. - Arfan Ghani; Liam McDaid; Ammar Belatreche; Steve Hall; Shou Huang; John Marsland; Thomas Dowrick; Andy W. Smith (Neurocomputing, 2012)

Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers. - Snaider Carrillo; Jim Harkin; Liam McDaid; Sandeep Pande; Seamus Cawley; Brian McGinley; Fearghal Morgan (Neural Networks, 2012)

Synchrony: A spiking-based mechanism for processing sensory stimuli. - Cornelius Glackin; Liam P. Maguire; Liam McDaid; John J. Wade (Neural Networks, 2012)

Silicon-Based Dynamic Synapse With Depressing Response. - Thomas Dowrick; Steve Hall; Liam McDaid (IEEE Trans. Neural Networks Learn. Syst., 2012)

Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference. - Julie A. Wall; Liam McDaid; Liam P. Maguire; Thomas Martin McGinnity (IEEE Trans. Neural Networks Learn. Syst., 2012)

Biophysically based computational models of astrocyte neuron coupling and their functional significance. - John J. Wade; Liam McDaid; Jim Harkin; Vincenzo Crunelli; J. A. Scott Kelso (Frontiers Comput. Neurosci., 2013)

A simple programmable axonal delay scheme for spiking neural networks. - Thomas Dowrick; Steve Hall; Liam McDaid (Neurocomputing, 2013)

Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network. - Sandeep Pande; Fearghal Morgan; Seamus Cawley; Tom M. Bruintjes; Gerard J. M. Smit; Brian McGinley; Snaider Carrillo; Jim Harkin; Liam McDaid (Neural Process. Lett., 2013)

Fixed latency on-chip interconnect for hardware spiking neural network architectures. - Sandeep Pande; Fearghal Morgan; Gerard J. M. Smit; Tom M. Bruintjes; Jochem H. Rutgers; Brian McGinley; Seamus Cawley; Jim Harkin; Liam McDaid (Parallel Comput., 2013)

Biologically Inspired SNN for Robot Control. - Eric Nichols; Liam McDaid; Nazmul H. Siddique (IEEE Trans. Cybern., 2013)

Scalable Hierarchical Network-on-Chip Architecture for Spiking Neural Network Hardware Implementations. - Snaider Carrillo; Jim Harkin; Liam McDaid; Fearghal Morgan; Sandeep Pande; Seamus Cawley; Brian McGinley (IEEE Trans. Parallel Distributed Syst., 2013)

A compact spike-timing-dependent-plasticity circuit for floating gate weight implementation. - Andy W. Smith; L. J. McDaid; Steve Hall (Neurocomputing, 2014)

Case study: Bio-inspired self-adaptive strategy for spike-based PID controller. - Junxiu Liu; Jim Harkin; Malachy McElholm; Liam McDaid; Angel Jiménez-Fernandez; Alejandro Linares-Barranco (ISCAS, 2015)

An authentication strategy based on spatiotemporal chaos for software copyright protection. - Lvchen Cao; Yuling Luo; Jinjie Bi; Senhui Qiu; Zhenkun Lu; Jim Harkin; Liam McDaid (Secur. Commun. Networks, 2015)

On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks. - Muhammad Naeem; Liam McDaid; Jim Harkin; John J. Wade; John Marsland (IEEE Trans. Neural Networks Learn. Syst., 2015)

Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardware. - Snaider Carrillo; Jim Harkin; Liam McDaid (Evolvable Hardware, 2015)

Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware. - Junxiu Liu; Jim Harkin; Liam McDaid; George Martin (ICANN (1), 2016)

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)

Self-repairing hardware with astrocyte-neuron networks. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade; Malachy McElholm (ISCAS, 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)

Astrocyte to spiking neuron communication using Networks-on-Chip ring topology. - George Martin; Jim Harkin; Liam McDaid; John J. Wade; Junxiu Liu; Fearghal Morgan (SSCI, 2016)

Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade; George Martin (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

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)

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes. - Yuling Luo; Qiang Fu 019; Junxiu Liu; Jim Harkin; Liam McDaid; Yi Cao 001 (IWANN (1), 2017)

Layered tile architecture for efficient hardware spiking neural networks. - Lei Wan; Junxiu Liu; Jim Harkin; Liam McDaid; Yuling Luo (Microprocess. Microsystems, 2017)

Rapid application prototyping for hardware modular spiking neural network architectures. - Sandeep Pande; Fearghal Morgan; Finn Krewer; Jim Harkin; Liam McDaid; Brian McGinley (Neural Comput. Appl., 2017)

Forest fire detection using spiking neural networks. - Yuling Luo; Qian Lu; Junxiu Liu; Qiang Fu 019; Jim Harkin; Liam McDaid; Jordi Martínez-Corral; Guillermo Biot-Marí (CF, 2018)

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)

Adding Security to Networks-on-Chip using Neural Networks. - Kyle Madden; Jim Harkin; Liam McDaid; Chris D. Nugent (SSCI, 2018)

Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs. - Malachy McElholm; Jim Harkin; Junxiu Liu; Liam McDaid (SSCI, 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)

On-chip communication for neuro-glia networks. - George Martin; Jim Harkin; L. J. McDaid; John J. Wade; Junxiu Liu (IET Comput. Digit. Tech., 2018)

Fan-in analysis of a leaky integrator circuit using charge transfer synapses. - Thomas Dowrick; Liam McDaid; Stephen Hall (Neurocomputing, 2018)

Potassium and sodium microdomains in thin astroglial processes: A computational model study. - Kevin Breslin; John Joseph Wade; KongFatt Wong-Lin; Jim Harkin; Bronac Flanagan; Harm Van Zalinge; Steve Hall; Matthew C. Walker; Alexei Verkhratsky; Liam McDaid (PLoS Comput. Biol., 2018)

A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability. - Bronac Flanagan; Liam McDaid; John J. Wade; KongFatt Wong-Lin; Jim Harkin (PLoS Comput. Biol., 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)

SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade (IEEE Trans. Neural Networks Learn. Syst., 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)

Bio-inspired fault detection circuits based on synapse and spiking neuron models. - Junxiu Liu; Yongchuang Huang; Yuling Luo; Jim Harkin; Liam McDaid (Neurocomputing, 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)

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks. - Shvan Karim; Jim Harkin; Liam McDaid; Bryan Gardiner; Junxiu Liu (DATE, 2020)

Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft. - Marinus Toman; John Joseph Wade; Liam McDaid; Jim Harkin (IJCNN, 2020)

Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (ISCAS, 2020)

Case Study - Spiking Neural Network Hardware System for Structural Health Monitoring. - Lili Pang 002; Junxiu Liu; Jim Harkin; George Martin; Malachy McElholm; Aqib Javed; Liam McDaid (Sensors, 2020)

Spiking Neural Network-based Structural Health Monitoring Hardware System. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (SSCI, 2021)

An memristor-based synapse implementation using BCM learning rule. - Yongchuang Huang; Junxiu Liu; Jim Harkin; Liam McDaid; Yuling Luo (Neurocomputing, 2021)

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks. - Aqib Javed; Jim Harkin; Liam McDaid; Junxiu Liu (J. Parallel Distributed Comput., 2021)

Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia. - Alireza Poshtkohi; John J. Wade; Liam McDaid; Junxiu Liu; Mark Dallas; Angela Bithell (PLoS Comput. Biol., 2021)

Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies. - Natasha Hamilton; Jim Harkin; Liam McDaid; Junxiu Liu; Eoghan Furey (IJCCI, 2023)

Artificial Neural Microcircuits as Building Blocks: Concept and Challenges. - Andrew Walter; Shimeng Wu; Andy M. Tyrrell; Liam McDaid; Malachy McElholm; Nidhin Thandassery Sumithran; Jim Harkin; Martin A. Trefzer (CoRR, 2024)

Mathematical Modeling of PI3K/Akt Pathway in Microglia. - Alireza Poshtkohi; John J. Wade; Liam McDaid; Junxiu Liu; Mark Dallas; Angela Bithell (Neural Comput., 2024)

Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V. - David Simpson; Jim Harkin; Malachy McElholm; Liam McDaid (ISCAS, 2025)

Smart Watchdog Mechanism for Fault Detection in RISC-V. - David Simpson; Jim Harkin; Malachy McElholm; Liam McDaid (ISCAS, 2025)