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)

State Assignment Techniques in Multiple-Valued Logic. - K. J. Adams; Jonathan G. Campbell; Liam P. Maguire; J. A. C. Webb (ISMVL, 1999)

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)

Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary Algorithms. - Jim Harkin; T. Martin McGinnity; Liam P. Maguire (FCCM, 2000)

Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach. - Jim Harkin; T. Martin McGinnity; Liam P. Maguire (FPL, 2001)

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

Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems. - Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Microprocess. Microsystems, 2001)

A CASE-tool oriented approach for embedded systems design. - T. Martin McGinnity; Liam P. Maguire (Microprocess. Microsystems, 2001)

Fault diagnosis of electronic systems using intelligent techniques: a review. - W. G. Fenton; T. Martin McGinnity; Liam P. Maguire (IEEE Trans. Syst. Man Cybern. Part C, 2001)

Hybrid Intelligent Architectures using a Neurofuzzy Approach. - Liam P. Maguire; T. Martin McGinnity; Brendan P. Glackin (Advances in Computational Intelligence and Learning, 2002)

Investigation of a programmable threshold logic gate array. - Peter M. Kelly; C. J. Thompson; T. M. McGinnity; Liam P. Maguire (ICECS, 2002)

An Internet-based methodology for remotely accessed embedded systems. - Michael J. Callaghan; Jim Harkin; T. M. McGinnity; Liam P. Maguire (SMC, 2002)

Design philosophy for self-repair of electronic systems using the UML. - Eamomn A. Coyle; Liam P. Maguire; T. Martin McGinnity (IEE Proc. Softw., 2002)

On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems. - Jim Harkin; Michael J. Callaghan; Chris Peters; T. Martin McGinnity; Liam P. Maguire (FPL, 2003)

A Binary Multiplier Using RTD Based Threshold Logic Gates. - Peter M. Kelly; C. J. Thompson; T. Martin McGinnity; Liam P. Maguire (IWANN (2), 2003)

A Collaborative Environment for Remote Experimentation. - Michael J. Callaghan; Jim Harkin; Chris Peters; T. Martin McGinnity; Liam P. Maguire (MSE, 2003)

Integrated architecture for remote experimentation. - Michael J. Callaghan; Jim Harkin; Girijesh Prasad; T. Martin McGinnity; Liam P. Maguire (SMC, 2003)

A novel intelligent approach to anchorage measurement using electron microscopy. - Karol Warne; Girijesh Prasad; Nazmul H. Siddique; Liam P. Maguire (SMC, 2003)

Adaptive Intelligent Environment for Remote Experimentation. - Michael J. Callaghan; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Web Intelligence, 2003)

Knowledge Discovery from Decision Tables by the Use of Multiple-Valued Logic. - K. J. Adams; David A. Bell; Liam P. Maguire; J. McGregor (Artif. Intell. Rev., 2003)

Re-Programmable MVL Circuits and Architecture to Enable Evolvable MVL Hardware. - Peter M. Kelly; T. Martin McGinnity; Liam P. Maguire (J. Multiple Valued Log. Soft Comput., 2003)

Architectural requirements for threshold logic gates based on resonant tunneling devices. - Peter M. Kelly; T. M. McGinnity; Liam P. Maguire (IJCNN, 2004)

Cost effectiveness issues in remote experimentation. - Michael J. Callaghan; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (SMC (5), 2004)

Development of a hybrid PCA-ANFIS measurement system for monitoring product quality in the coating industry. - Karol Warne; Girijesh Prasad; Mia Nazmul Haque Siddique; Liam P. Maguire (SMC (4), 2004)

Distributed Architecture for Adaptive Intelligent Environments. - Michael J. Callaghan; Mehdi El-Gueddari; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Web Intelligence, 2004)

Intelligent Remote Experimentation. - Michael J. Callaghan; Mehdi El-Gueddari; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Web Intelligence, 2004)

Self-repair of embedded systems. - Eamomn A. Coyle; Liam P. Maguire; T. Martin McGinnity (Eng. Appl. Artif. Intell., 2004)

Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion. - Karol Warne; Girijesh Prasad; Sina Rezvani; Liam P. Maguire (Eng. Appl. Artif. Intell., 2004)

Using a fuzzy approach to support financial analysis in the corporate acquisition process. - Ronan T. McIvor; Anthony G. McCloskey; Paul K. Humphreys; Liam P. Maguire (Expert Syst. Appl., 2004)

Intrinsic and extrinsic implementation of a bio-inspired hardware system. - Brendan P. Glackin; Liam P. Maguire; T. Martin McGinnity (Inf. Sci., 2004)

Modeling and optimizing run-time reconfiguration using evolutionary computation. - Jim Harkin; T. Martin McGinnity; Liam P. Maguire (ACM Trans. Embed. Comput. Syst., 2004)

Reducing Interconnection Resource Overhead in Nano-scale FPGAs through MVL Signal Systems. - Peter M. Kelly; T. Martin McGinnity; Liam P. Maguire (ASAP, 2005)

A symbiosis algorithm for robotic control. - K. M. Ward; Mia Nazmul Haque Siddique; Liam P. Maguire; T. Martin McGinnity (Congress on Evolutionary Computation, 2005)

Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs. - Simon Johnston; Girijesh Prasad; Liam P. Maguire; T. Martin McGinnity (ICANN (1), 2005)

Client-Server Architecture for Collaborative Remote Experimentation. - Michael J. Callaghan; Jim Harkin; Mehdi El-Gueddari; T. Martin McGinnity; Liam P. Maguire (ICITA (2), 2005)

Intelligent User-Support in Learning Environments for Remote Experimentation. - Jim Harkin; Michael J. Callaghan; T. Martin McGinnity; Liam P. Maguire (ICITA (2), 2005)

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Ammar Belatreche; Brendan P. Glackin (ICNC (1), 2005)

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware. - Brendan P. Glackin; T. Martin McGinnity; Liam P. Maguire; Qingxiang Wu; Ammar Belatreche (IWANN, 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 User Centred Approach to Management Decision Making. - Liam P. Maguire; T. A. McCloskey; Paul K. Humphreys; Ronan T. McIvor (Intelligent Data Mining, 2005)

Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware. - Arfan Ghani; T. Martin McGinnity; Liam P. Maguire; Jim Harkin (FPL, 2006)

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

Book reviews. - Anita Greenhill; Liam P. Maguire; Seán Ó Nualláin; Maeve Paris (Artif. Intell. Rev., 2006)

A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach. - Anthony G. McCloskey; Ronan T. McIvor; Liam P. Maguire; Paul K. Humphreys; Tina O'Donnell (Decis. Support Syst., 2006)

Client-Server Architecture for Remote Experimentation for Embedded Systems. - Michael J. Callaghan; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Int. J. Online Eng., 2006)

Learning under weight constraints in networks of temporal encoding spiking neurons. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Brendan P. Glackin; Ammar Belatreche (Neurocomputing, 2006)

Edge Detection Based on Spiking Neural Network Model. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Ammar Belatreche; Brendan P. Glackin (ICIC (2), 2007)

A comparison of fuzzy strategies for corporate acquisition analysis. - Cornelius Glackin; Liam P. Maguire; Ronan T. McIvor; Paul K. Humphreys; Pawel Andrzej Herman (Fuzzy Sets Syst., 2007)

Paradigms in Remote Experimentation. - Michael J. Callaghan; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (Int. J. Online Eng., 2007)

Extending Remote Experimentation Environments to Support Visual and Audio Impaired Users. - Jim Harkin; Michael J. Callaghan; Mehdi El-Gueddari; Malachy McElholm; T. Martin McGinnity; Liam P. Maguire (Int. J. Online Eng., 2007)

Challenges for large-scale implementations of spiking neural networks on FPGAs. - Liam P. Maguire; T. Martin McGinnity; Brendan P. Glackin; Arfan Ghani; Ammar Belatreche; Jim Harkin (Neurocomputing, 2007)

Client-server architecture for collaborative remote experimentation. - Michael J. Callaghan; Jim Harkin; E. McColgan; T. Martin McGinnity; Liam P. Maguire (J. Netw. Comput. Appl., 2007)

Advances in Design and Application of Spiking Neural Networks. - Ammar Belatreche; Liam P. Maguire; T. Martin McGinnity (Soft Comput., 2007)

Learning Mechanisms in Networks of Spiking Neurons. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Brendan P. Glackin; Ammar Belatreche (Trends in Neural Computation, 2007)

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. - Arfan Ghani; T. Martin McGinnity; Liam P. Maguire; Jim Harkin (ICANN (1), 2008)

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

Motion Detection Using Spiking Neural Network Model. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Jianyong Cai; German D. Valderrama-Gonzalez (ICIC (2), 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)

Hardware/Software Co-Design for Spike Based Recognition - Arfan Ghani; T. Martin McGinnity; Liam P. Maguire; Jim Harkin (CoRR, 2008)

Processing visual stimuli using hierarchical spiking neural networks. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Ammar Belatreche; Brendan P. Glackin (Neurocomputing, 2008)

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Ammar Belatreche; Brendan P. Glackin (Neural Networks, 2008)

Intelligent User Support in Autonomous Remote Experimentation Environments. - Michael J. Callaghan; Jim Harkin; Thomas Martin McGinnity; Liam P. Maguire (IEEE Trans. Ind. Electron., 2008)

A Hardware Accelerated Simulation Environment for Spiking Neural Networks. - Brendan P. Glackin; Jim Harkin; T. Martin McGinnity; Liam P. Maguire (ARC, 2009)

Emulating Spiking Neural Networks for edge detection on FPGA hardware. - Brendan P. Glackin; Jim Harkin; T. Martin McGinnity; Liam P. Maguire; Qingxiang Wu (FPL, 2009)

Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. - Michael F. Mc Bride; T. Martin McGinnity; Liam P. Maguire (ICANN (2), 2009)

Review of Neuron Types in the Retina: Information Models for Neuroengineering. - German D. Valderrama-Gonzalez; T. Martin McGinnity; Liam P. Maguire; Qingxiang Wu (ICANN (1), 2009)

Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Arfan Ghani; Joan Condell (ICIC (2), 2009)

Detection of Straight Lines Using a Spiking Neural Network Model. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; German D. Valderrama-Gonzalez; Jianyong Cai (ICNC (2), 2009)

Employing Genetic Algorithms to minimise the Bullwhip Effect in an online efficient-responsive supply chain. - J. Lu; Paul K. Humphreys; Ronan T. McIvor; Liam P. Maguire (SOLI, 2009)

Modular hardware design for distant-internet embedded systems engineering laboratory. - Xicai Yue; Emmanuel M. Drakakis; Jim Harkin; Michael J. Callaghan; T. Martin McGinnity; Liam P. Maguire (Comput. Appl. Eng. Educ., 2009)

Reducing the negative effects of sales promotions in supply chains using genetic algorithms. - Tina O'Donnell; Paul K. Humphreys; Ronan T. McIvor; Liam P. Maguire (Expert Syst. Appl., 2009)

Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (BIC-TA, 2010)

Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; German D. Valderrama-Gonzalez; Patrick Dempster (ICIC (1), 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)

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (IJCNN, 2010)

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

Does Soft Computing Classify Research in Spiking Neural Networks? - Liam P. Maguire (Int. J. Comput. Intell. Syst., 2010)

An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application. - Simon Johnston; Girijesh Prasad; Liam P. Maguire; T. Martin McGinnity (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)

Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. - Michael McCann; Yuhua Li 001; Liam P. Maguire; Adrian Johnston (NIPS Causality: Objectives and Assessment, 2010)

A least angle regression method for fMRI activation detection in phase-encoded experimental designs. - Xingfeng Li 002; Damien Coyle; Liam P. Maguire; Thomas Martin McGinnity; David R. Watson; Habib Benali (NeuroImage, 2010)

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (CCMB, 2011)

Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease. - Kamal Abuhassan; Damien Coyle; Liam P. Maguire (EMBC, 2011)

Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Rongtai Cai; Meigui Chen (ICIC (3), 2011)

A New Learning Algorithm for Adaptive Spiking Neural Networks. - Jinling Wang 003; Ammar Belatreche; Liam P. Maguire; Thomas Martin McGinnity (ICONIP (1), 2011)

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

A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. - Julie A. Wall; T. Martin McGinnity; Liam P. Maguire (IJCNN, 2011)

A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (Neural Networks, 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)

Selecting Critical Patterns Based on Local Geometrical and Statistical Information. - Yuhua Li 001; Liam P. Maguire (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis. - Xingfeng Li 002; Damien Coyle; Liam P. Maguire; Thomas Martin McGinnity; Habib Benali (IEEE Trans. Medical Imaging, 2011)

Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire; Jill Stewart (ICANN (1), 2012)

Constructing minimum volume surfaces using level set methods for novelty detection. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IJCNN, 2012)

Robotic UBIquitous COgnitive Network. - Giuseppe Amato 001; Mathias Broxvall; Stefano Chessa; Mauro Dragone; Claudio Gennaro; Rafa López; Liam P. Maguire; T. Martin McGinnity; Alessio Micheli; Arantxa Rentería; Gregory M. P. O'Hare; Federico Pecora (ISAmI, 2012)

Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network. - Anjan Kumar Ray; Gang Leng; T. Martin McGinnity; Sonya A. Coleman; Liam P. Maguire (SyRoCo, 2012)

Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. - Xin Zou; Damien Coyle; KongFatt Wong-Lin; Liam P. Maguire (J. Comput. Neurosci., 2012)

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. - Basabdatta Sen Bhattacharya; Damien Coyle; Liam P. Maguire (J. Univers. Comput. Sci., 2012)

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

Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models. - Kamal Abuhassan; Damien Coyle; Liam P. Maguire (IEEE Trans. Biomed. Eng., 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)

Memories in University of Ulster. - Jun Liu 001; Liam P. Maguire; Hui Wang 001; Juan Carlos Augusto (A Tribute to Prof. Dr. Da Ruan, 2013)

Evaluation of Sampling Methods for Learning from Imbalanced Data. - Garima Goel; Liam P. Maguire; Yuhua Li 001; Seán F. McLoone (ICIC (1), 2013)

Dynamically Reconfigurable Online Self-organising Fuzzy Neural Network with Variable Number of Inputs for Smart Home Application. - Anjan Kumar Ray; Gang Leng; T. Martin McGinnity; Sonya A. Coleman; Liam P. Maguire (IJCCI, 2013)

Novelty Detection Using Level Set Methods with Adaptive Boundaries. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (SMC, 2013)

Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. - Basabdatta Sen Bhattacharya; Yüksel Çakir; Neslihan Serap Sengör; Liam P. Maguire; Damien Coyle (Neurocomputing, 2013)

A visual attention model based on hierarchical spiking neural networks. - Qingxiang Wu; T. Martin McGinnity; Liam P. Maguire; Rongtai Cai; Meigui Chen (Neurocomputing, 2013)

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. - Xingfeng Li 002; Damien Coyle; Liam P. Maguire; Thomas Martin McGinnity (Neuroinformatics, 2013)

Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics. - Basabdatta Sen Bhattacharya; Neslihan Serap Sengör; Yüksel Çakir; Liam P. Maguire; Damien Coyle (Advanced Computational Approaches to Biomedical Engineering, 2014)

Online fault detection for Networks-on-Chip interconnect. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (AHS, 2014)

A new biologically plausible supervised learning method for spiking neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (ESANN, 2014)

A locally adaptive boundary evolution algorithm for novelty detection using level set methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IJCNN, 2014)

Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire; Alejandro Linares-Barranco (MCSoC, 2014)

Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation. - Philip J. Vance; Gautham P. Das; Thomas Martin McGinnity; Sonya A. Coleman; Liam P. Maguire (ROBIO, 2014)

Compensating for thalamocortical synaptic loss in Alzheimer's disease. - Kamal Abuhassan; Damien Coyle; Liam P. Maguire (Frontiers Comput. Neurosci., 2014)

Introduction. - Nazmul H. Siddique; Bernard Widrow; Liam P. Maguire (Int. J. Neural Syst., 2014)

An experimental evaluation of novelty detection methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (Neurocomputing, 2014)

An online supervised learning method for spiking neural networks with adaptive structure. - Jinling Wang 003; Ammar Belatreche; Liam P. Maguire; Thomas Martin McGinnity (Neurocomputing, 2014)

Compensating for synaptic loss in Alzheimer's disease. - Kamal Abuhassan; Damien Coyle; Ammar Belatreche; Liam P. Maguire (J. Comput. Neurosci., 2014)

Online traffic-aware fault detection for networks-on-chip. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (J. Parallel Distributed Comput., 2014)

Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Yuhua Li 001; Lei Wan; Yuling Luo (ICA3PP (4), 2015)

EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (ICONIP (2), 2015)

SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification. - Jinling Wang 003; Ammar Belatreche; Liam P. Maguire; T. Martin McGinnity (ICONIP (2), 2015)

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IJCNN, 2015)

Dynamically Evolving Spiking Neural network for pattern recognition. - Jinling Wang 003; Ammar Belatreche; Liam P. Maguire; T. Martin McGinnity (IJCNN, 2015)

A cognitive robotic ecology approach to self-configuring and evolving AAL systems. - Mauro Dragone; Giuseppe Amato 001; Davide Bacciu; Stefano Chessa; Sonya A. Coleman; Maurizio Di Rocco; Claudio Gallicchio; Claudio Gennaro; Héctor Lozano Peiteado; Liam P. Maguire; T. Martin McGinnity; Alessio Micheli; et al. (Eng. Appl. Artif. Intell., 2015)

Low cost fault-tolerant routing algorithm for Networks-on-Chip. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (Microprocess. Microsystems, 2015)

Novelty Detection Using Level Set Methods. - Xuemei Ding; Yuhua Li 001; Ammar Belatreche; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2015)

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2015)

Self-repairing hardware with astrocyte-neuron networks. - Junxiu Liu; Jim Harkin; Liam P. Maguire; Liam McDaid; John J. Wade; Malachy McElholm (ISCAS, 2016)

Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead. - Junxiu Liu; Jim Harkin; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure. - Jinling Wang 003; Ammar Belatreche; Liam P. Maguire; Thomas Martin McGinnity (IEEE Trans. Neural Networks Learn. Syst., 2017)

Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty. - Ehsan Badakhshan; Paul K. Humphreys; Liam P. Maguire; Ronan Mclvor (IEEE Conf. on Intelligent Systems, 2018)

Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. - Shuo Liu; Jinshu Zeng; Huizhou Gong; Hongqin Yang; Jia Zhai; Yi Cao 001; Junxiu Liu; Yuling Luo; Yuhua Li 001; Liam P. Maguire; Xuemei Ding (Comput. Biol. Medicine, 2018)

Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome. - Thomas H. Alderson; Arun L. W. Bokde; J. A. Scott Kelso; Liam P. Maguire; Damien Coyle (NeuroImage, 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)

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Liam P. Maguire (IEEE Trans. Neural Networks Learn. Syst., 2018)

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. - Magda Bucholc; Xuemei Ding; Haiying Wang 001; David H. Glass; Hui Wang 001; Girijesh Prasad; Liam P. Maguire; Anthony J. Bjourson; Paula L. McClean; Stephen Todd; David P. Finn; KongFatt Wong-Lin (Expert Syst. Appl., 2019)

Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain. - Ehsan Badakhshan; Paul K. Humphreys; Liam P. Maguire; Ronan T. McIvor (Int. J. Prod. Res., 2020)

A review of learning in biologically plausible spiking neural networks. - Aboozar Taherkhani; Ammar Belatreche; Yuhua Li 001; Georgina Cosma; Liam P. Maguire; T. Martin McGinnity (Neural Networks, 2020)

Development of a Two-State Gaussian Hidden Markov Model for Modelling Dementia Progression in Patients with Mild Cognitive Impairment. - Callum Canavan; Liam P. Maguire; Magda Bucholc (ICHI, 2021)

Convolutional AutoEncoders for Anomaly Detection in Semiconductor Manufacturing. - Mark Gorman; Xuemei Ding; Liam P. Maguire; Damien Coyle (AICS, 2023)