Liam McDaid

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 39

Top Topics

Mathematical Modeling

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell
Mathematical Modeling of PI3K/Akt Pathway in Microglia. Neural Comput. 36 (4) (2024)
Andrew Walter, Shimeng Wu, Andy M. Tyrrell, Liam McDaid, Malachy McElholm, Nidhin Thandassery Sumithran, Jim Harkin, Martin A. Trefzer
Artificial Neural Microcircuits as Building Blocks: Concept and Challenges. CoRR (2024)
Natasha Hamilton, Jim Harkin, Liam McDaid, Junxiu Liu, Eoghan Furey
Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies. IJCCI (2023)
Aqib Javed, Jim Harkin, Liam McDaid, Junxiu Liu
Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks. J. Parallel Distributed Comput. 154 (2021)
Alireza Poshtkohi, John J. Wade, Liam McDaid, Junxiu Liu, Mark Dallas, Angela Bithell
Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia. PLoS Comput. Biol. 17 (11) (2021)
Aqib Javed, Jim Harkin, Liam McDaid, Junxiu Liu
Spiking Neural Network-based Structural Health Monitoring Hardware System. SSCI (2021)
Yongchuang Huang, Junxiu Liu, Jim Harkin, Liam McDaid, Yuling Luo
An memristor-based synapse implementation using BCM learning rule. Neurocomputing 423 (2021)
Marinus Toman, John Joseph Wade, Liam McDaid, Jim Harkin
Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft. IJCNN (2020)
Aqib Javed, Jim Harkin, Liam McDaid, Junxiu Liu
Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip. ISCAS (2020)
Lili Pang, Junxiu Liu, Jim Harkin, George Martin, Malachy McElholm, Aqib Javed, Liam McDaid
Case Study - Spiking Neural Network Hardware System for Structural Health Monitoring. Sensors 20 (18) (2020)
Shvan Karim, Jim Harkin, Liam McDaid, Bryan Gardiner, Junxiu Liu
AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks. DATE (2020)
Junxiu Liu, Yongchuang Huang, Yuling Luo, Jim Harkin, Liam McDaid
Bio-inspired fault detection circuits based on synapse and spiking neuron models. Neurocomputing 331 (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)
Thomas Dowrick, Liam McDaid, Stephen Hall
Fan-in analysis of a leaky integrator circuit using charge transfer synapses. Neurocomputing 314 (2018)
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)
Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture. IEEE Trans. Neural Networks Learn. Syst. 29 (4) (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)
Kevin Breslin, John Joseph Wade, KongFatt Wong-Lin, Jim Harkin, Bronac Flanagan, Harm Van Zalinge, Steve Hall, Matthew C. Walker, Alexei Verkhratsky, Liam McDaid
Potassium and sodium microdomains in thin astroglial processes: A computational model study. PLoS Comput. Biol. 14 (5) (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)
Yuling Luo, Qian Lu, Junxiu Liu, Qiang Fu, Jim Harkin, Liam McDaid, Jordi Martínez-Corral, Guillermo Biot-Marí
Forest fire detection using spiking neural networks. CF (2018)
Kyle Madden, Jim Harkin, Liam McDaid, Chris D. Nugent
Adding Security to Networks-on-Chip using Neural Networks. SSCI (2018)
Bronac Flanagan, Liam McDaid, John J. Wade, KongFatt Wong-Lin, Jim Harkin
A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability. PLoS Comput. Biol. 14 (4) (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)
Malachy McElholm, Jim Harkin, Junxiu Liu, Liam McDaid
Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs. SSCI (2018)
Lei Wan, Junxiu Liu, Jim Harkin, Liam McDaid, Yuling Luo
Layered tile architecture for efficient hardware spiking neural networks. Microprocess. Microsystems 53 (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)
Sandeep Pande, Fearghal Morgan, Finn Krewer, Jim Harkin, Liam McDaid, Brian McGinley
Rapid application prototyping for hardware modular spiking neural network architectures. Neural Comput. Appl. 28 (9) (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)
Yuling Luo, Qiang Fu, Junxiu Liu, Jim Harkin, Liam McDaid, Yi Cao
An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes. IWANN (1) (2017)
Junxiu Liu, Jim Harkin, Liam McDaid, George Martin
Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware. ICANN (1) (2016)
Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade, George Martin
Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2016)
Junxiu Liu, Jim Harkin, Liam P. Maguire, Liam McDaid, John J. Wade, Malachy McElholm
Self-repairing hardware with astrocyte-neuron networks. ISCAS (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)
George Martin, Jim Harkin, Liam McDaid, John J. Wade, Junxiu Liu, Fearghal Morgan
Astrocyte to spiking neuron communication using Networks-on-Chip ring topology. SSCI (2016)
Muhammad Naeem, Liam McDaid, Jim Harkin, John J. Wade, John Marsland
On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Junxiu Liu, Jim Harkin, Malachy McElholm, Liam McDaid, Angel Jiménez-Fernandez, Alejandro Linares-Barranco
Case study: Bio-inspired self-adaptive strategy for spike-based PID controller. ISCAS (2015)
Lvchen Cao, Yuling Luo, Jinjie Bi, Senhui Qiu, Zhenkun Lu, Jim Harkin, Liam McDaid
An authentication strategy based on spatiotemporal chaos for software copyright protection. Secur. Commun. Networks 8 (18) (2015)
Sandeep Pande, Fearghal Morgan, Seamus Cawley, Tom M. Bruintjes, Gerard J. M. Smit, Brian McGinley, Snaider Carrillo, Jim Harkin, Liam McDaid
Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network. Neural Process. Lett. 38 (2) (2013)
Thomas Dowrick, Steve Hall, Liam McDaid
A simple programmable axonal delay scheme for spiking neural networks. Neurocomputing 108 (2013)
Snaider Carrillo, Jim Harkin, Liam McDaid, Fearghal Morgan, Sandeep Pande, Seamus Cawley, Brian McGinley
Scalable Hierarchical Network-on-Chip Architecture for Spiking Neural Network Hardware Implementations. IEEE Trans. Parallel Distributed Syst. 24 (12) (2013)
Eric Nichols, Liam McDaid, Nazmul H. Siddique
Biologically Inspired SNN for Robot Control. IEEE Trans. Cybern. 43 (1) (2013)
Sandeep Pande, Fearghal Morgan, Gerard J. M. Smit, Tom M. Bruintjes, Jochem H. Rutgers, Brian McGinley, Seamus Cawley, Jim Harkin, Liam McDaid
Fixed latency on-chip interconnect for hardware spiking neural network architectures. Parallel Comput. 39 (9) (2013)
John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance. Frontiers Comput. Neurosci. 7 (2013)
Thomas Dowrick, Steve Hall, Liam McDaid
Silicon-Based Dynamic Synapse With Depressing Response. IEEE Trans. Neural Networks Learn. Syst. 23 (10) (2012)
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Brian McGinley, Fearghal Morgan
Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers. Neural Networks 33 (2012)
John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso
Self-repair in a Bidirectionally Coupled Astrocyte-Neuron (AN) System based on Retrograde Signaling. Frontiers Comput. Neurosci. 6 (2012)
Julie A. Wall, Liam McDaid, Liam P. Maguire, Thomas Martin McGinnity
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference. IEEE Trans. Neural Networks Learn. Syst. 23 (4) (2012)
Arfan Ghani, Liam McDaid, Ammar Belatreche, Steve Hall, Shou Huang, John Marsland, Thomas Dowrick, Andy W. Smith
Evaluating the generalisation capability of a CMOS based synapse. Neurocomputing 83 (2012)
Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade
Synchrony: A spiking-based mechanism for processing sensory stimuli. Neural Networks 32 (2012)
Neil McDonnell, Snaider Carrillo, Jim Harkin, Liam McDaid
Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding. Int. J. Adapt. Resilient Auton. Syst. 3 (4) (2012)
Cornelius Glackin, Liam P. Maguire, Liam McDaid, Heather M. Sayers
Receptive field optimisation and supervision of a fuzzy spiking neural network. Neural Networks 24 (3) (2011)
Sandeep Pande, Fearghal Morgan, Seamus Cawley, Brian McGinley, Jim Harkin, Snaider Carrillo, Liam McDaid
Addressing the Hardware Resource Requirements of Network-on-chip based Neural Architectures. IJCCI (NCTA) (2011)
Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade
Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. IJCNN (2011)
John J. Wade, Liam McDaid, Jim Harkin, Vincenzo Crunelli, J. A. Scott Kelso, Valeriu Beiu
Exploring retrograde signaling via astrocytes as a mechanism for self repair. IJCNN (2011)
Seamus Cawley, Fearghal Morgan, Brian McGinley, Sandeep Pande, Liam McDaid, Snaider Carrillo, Jim Harkin
Hardware spiking neural network prototyping and application. Genet. Program. Evolvable Mach. 12 (3) (2011)
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Seamus Cawley, Fearghal Morgan
Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations. ICANN (1) (2011)
Valeriu Beiu, Basheer A. M. Madappuram, Peter M. Kelly, Liam McDaid
On Two-Layer Brain-Inspired Hierarchical Topologies - A Rent's Rule Approach -. Trans. High Perform. Embed. Archit. Compil. 4 (2011)
Arfan Ghani, Liam McDaid, Ammar Belatreche, Peter M. Kelly, Steve Hall, Thomas Dowrick, Shou Huang, John Marsland, Andy W. Smith
Evaluating the training dynamics of a CMOS based synapse. IJCNN (2011)
Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Liam McDaid, Arfan Ghani
Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation. Adv. Artif. Intell. 2010 (2010)
Snaider Carrillo, Jim Harkin, Liam McDaid, Sandeep Pande, Fearghal Morgan
An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations. ICES (2010)
Brendan P. Glackin, Julie A. Wall, Thomas Martin McGinnity, Liam P. Maguire, Liam McDaid
A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization. Frontiers Comput. Neurosci. 4 (2010)
Sandeep Pande, Fearghal Morgan, Seamus Cawley, Brian McGinley, Snaider Carrillo, Jim Harkin, Liam McDaid
EMBRACE-SysC for analysis of NoC-based Spiking Neural Network architectures. SoC (2010)
Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity, Arfan Ghani, Liam McDaid
Application of biologically inspired neural oscillators to colour image segmentation. IJCNN (2010)
Cornelius Glackin, Liam P. Maguire, Liam McDaid
Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition. IJCNN (2010)
Jim Harkin, Fearghal Morgan, Liam McDaid, Steve Hall, Brian McGinley, Seamus Cawley
A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks. Int. J. Reconfigurable Comput. 2009 (2009)
Arfan Ghani, Liam McDaid, Ammar Belatreche, Waqar Ahmed
Neuro inspired reconfigurable architecture for hardware/software co-design. SoCC (2009)
Peter M. Kelly, Fergal Tuffy, Valeriu Beiu, Liam McDaid
Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices. NanoNet (2009)
Valeriu Beiu, Basheer A. M. Madappuram, Peter M. Kelly, Liam McDaid
On Two-Layer Hierarchical Networks How Does the Brain Do This? NanoNet (2009)
Cornelius Glackin, Liam McDaid, Liam P. Maguire, Heather M. Sayers
Implementing Fuzzy Reasoning on a Spiking Neural Network. ICANN (2) (2008)
Basheer A. M. Madappuram, Valeriu Beiu, Peter M. Kelly, Liam McDaid
On brain-inspired connectivity and hybrid network topologies. NANOARCH (2008)
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly
A Solid-State Neuron for Spiking Neural Network Implementation. Eng. Lett. 16 (1) (2008)
Jim Harkin, Fearghal Morgan, Steve Hall, Piotr Dudek, Thomas Dowrick, Liam McDaid
Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks. FPL (2008)
Peter M. Kelly, Liam McDaid, Fergal Tuffy, T. Martin McGinnity
A time multiplexed architecture for neural networks using quantum devices. ICECS (2008)
Julie A. Wall, Liam McDaid, Liam P. Maguire, T. Martin McGinnity
Spiking neuron models of the medial and lateral superior olive for sound localisation. IJCNN (2008)
Yajie Chen, Liam McDaid, Steve Hall, Peter M. Kelly
A programmable facilitating synapse device. IJCNN (2008)
John J. Wade, Liam McDaid, Jose A. Santos, Heather M. Sayers
SWAT: An unsupervised SNN training algorithm for classification problems. IJCNN (2008)
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly
Analog Spiking Neuron with Charge-Coupled Synapses. World Congress on Engineering (2007)
Thomas Dowrick, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly
A Biologically Plausible Neuron Circuit. IJCNN (2007)
Fergal Tuffy, Liam McDaid, T. Martin McGinnity, Jose Santos, Peter M. Kelly, Vunfu Wong Kwan, John Alderman
A Time Multiplexing Architecture for Inter-neuron Communications. ICANN (1) (2006)
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly
On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses. IJCNN (2006)
Fergal Tuffy, Liam McDaid, Vunfu Wong Kwan, John Alderman, T. Martin McGinnity, Peter M. Kelly, Jose A. Santos
Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling. IJCNN (2006)
Thomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. IJCNN (2006)
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu, Peter M. Kelly
A Silicon Synapse Based on a Charge Transfer Device for Spiking Neural Network Application. ISNN (2) (2006)
Michael J. Callaghan, T. Martin McGinnity, Liam McDaid
Evolving Task Specific Algorithms for Machine Vision Applications. ICITA (1) (2005)
Liam P. Maguire, Thomas Martin McGinnity, Liam McDaid
Issues in the development of an integrated environment for embedded system design: Part B: design and implementation. Microprocess. Microsystems 23 (4) (1999)
Liam P. Maguire, Thomas Martin McGinnity, Liam McDaid
Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products. Microprocess. Microsystems 23 (4) (1999)