Liam P. Maguire

ORCID

Publication Activity (10 Years)

Years Active: 1997-2021
Publications (10 Years): 22

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Neurocomputing

IJCNN

J. Comput. Neurosci.

Publications

Callum Canavan, Liam P. Maguire, Magda Bucholc
Development of a Two-State Gaussian Hidden Markov Model for Modelling Dementia Progression in Patients with Mild Cognitive Impairment. ICHI (2021)
Ehsan Badakhshan, Paul K. Humphreys, Liam P. Maguire, Ronan T. McIvor
Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain. Int. J. Prod. Res. 58 (17) (2020)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Georgina Cosma, Liam P. Maguire, T. Martin McGinnity
A review of learning in biologically plausible spiking neural networks. Neural Networks 122 (2020)
Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass, Hui Wang, Girijesh Prasad, Liam P. Maguire, Anthony J. Bjourson, Paula L. McClean, Stephen Todd, David P. Finn, KongFatt Wong-Lin
A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Expert Syst. Appl. 130 (2019)
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)
Shuo Liu, Jinshu Zeng, Huizhou Gong, Hongqin Yang, Jia Zhai, Yi Cao, Junxiu Liu, Yuling Luo, Yuhua Li, Liam P. Maguire, Xuemei Ding
Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach. Comput. Biol. Medicine 92 (2018)
Thomas H. Alderson, Arun L. W. Bokde, J. A. Scott Kelso, Liam P. Maguire, Damien Coyle
Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome. NeuroImage 183 (2018)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Ehsan Badakhshan, Paul K. Humphreys, Liam P. Maguire, Ronan Mclvor
Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty. IEEE Conf. on Intelligent Systems (2018)
Jinling Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity
SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure. IEEE Trans. Neural Networks Learn. Syst. 28 (1) (2017)
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)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (2) (2016)
Jinling Wang, Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity
SpikeComp: An Evolving Spiking Neural Network with Adaptive Compact Structure for Pattern Classification. ICONIP (2) (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
EDL: An Extended Delay Learning Based Remote Supervised Method for Spiking Neurons. ICONIP (2) (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 26 (12) (2015)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods. IEEE Trans. Neural Networks Learn. Syst. 26 (3) (2015)
Mauro Dragone, Giuseppe Amato, 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, Gregory M. P. O'Hare, Arantxa Rentería, Alessandro Saffiotti, Claudio Vairo, Philip J. Vance
A cognitive robotic ecology approach to self-configuring and evolving AAL systems. Eng. Appl. Artif. Intell. 45 (2015)
Junxiu Liu, Jim Harkin, Liam P. Maguire, Yuhua Li, Lei Wan, Yuling Luo
Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip. ICA3PP (4) (2015)
Jinling Wang, Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity
Dynamically Evolving Spiking Neural network for pattern recognition. IJCNN (2015)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method. IJCNN (2015)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Low cost fault-tolerant routing algorithm for Networks-on-Chip. Microprocess. Microsystems 39 (6) (2015)
Nazmul H. Siddique, Bernard Widrow, Liam P. Maguire
Introduction. Int. J. Neural Syst. 24 (5) (2014)
Aboozar Taherkhani, Ammar Belatreche, Yuhua Li, Liam P. Maguire
A new biologically plausible supervised learning method for spiking neurons. ESANN (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Online fault detection for Networks-on-Chip interconnect. AHS (2014)
Jinling Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity
An online supervised learning method for spiking neural networks with adaptive structure. Neurocomputing 144 (2014)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
A locally adaptive boundary evolution algorithm for novelty detection using level set methods. IJCNN (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire, Alejandro Linares-Barranco
Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC. MCSoC (2014)
Junxiu Liu, Jim Harkin, Yuhua Li, Liam P. Maguire
Online traffic-aware fault detection for networks-on-chip. J. Parallel Distributed Comput. 74 (1) (2014)
Philip J. Vance, Gautham P. Das, Thomas Martin McGinnity, Sonya A. Coleman, Liam P. Maguire
Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation. ROBIO (2014)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
An experimental evaluation of novelty detection methods. Neurocomputing 135 (2014)
Kamal Abuhassan, Damien Coyle, Ammar Belatreche, Liam P. Maguire
Compensating for synaptic loss in Alzheimer's disease. J. Comput. Neurosci. 36 (1) (2014)
Kamal Abuhassan, Damien Coyle, Liam P. Maguire
Compensating for thalamocortical synaptic loss in Alzheimer's disease. Frontiers Comput. Neurosci. 8 (2014)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen
A visual attention model based on hierarchical spiking neural networks. Neurocomputing 116 (2013)
Anjan Kumar Ray, Gang Leng, T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire
Dynamically Reconfigurable Online Self-organising Fuzzy Neural Network with Variable Number of Inputs for Smart Home Application. IJCCI (2013)
Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity
A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis. Neuroinformatics 11 (1) (2013)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Novelty Detection Using Level Set Methods with Adaptive Boundaries. SMC (2013)
Basabdatta Sen Bhattacharya, Yüksel Çakir, Neslihan Serap Sengör, Liam P. Maguire, Damien Coyle
Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease. Neurocomputing 115 (2013)
Garima Goel, Liam P. Maguire, Yuhua Li, Seán F. McLoone
Evaluation of Sampling Methods for Learning from Imbalanced Data. ICIC (1) (2013)
Jun Liu, Liam P. Maguire, Hui Wang, Juan Carlos Augusto
Memories in University of Ulster. A Tribute to Prof. Dr. Da Ruan (2013)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire, Jill Stewart
Kinetic Modelling of Synaptic Functions in the Alpha Rhythm Neural Mass Model. ICANN (1) (2012)
Xin Zou, Damien Coyle, KongFatt Wong-Lin, Liam P. Maguire
Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. J. Comput. Neurosci. 32 (3) (2012)
Anjan Kumar Ray, Gang Leng, T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire
Development of Cognitive Capabilities for Smart Home Using a Self-Organizing Fuzzy Neural Network. SyRoCo (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)
Kamal Abuhassan, Damien Coyle, Liam P. Maguire
Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models. IEEE Trans. Biomed. Eng. 59 (3) (2012)
Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade
Synchrony: A spiking-based mechanism for processing sensory stimuli. Neural Networks 32 (2012)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire
Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model. J. Univers. Comput. Sci. 18 (13) (2012)
Giuseppe Amato, 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
Robotic UBIquitous COgnitive Network. ISAmI (2012)
Xuemei Ding, Yuhua Li, Ammar Belatreche, Liam P. Maguire
Constructing minimum volume surfaces using level set methods for novelty detection. IJCNN (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)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire
Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model. CCMB (2011)
Kamal Abuhassan, Damien Coyle, Liam P. Maguire
Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease. EMBC (2011)
Yuhua Li, Liam P. Maguire
Selecting Critical Patterns Based on Local Geometrical and Statistical Information. IEEE Trans. Pattern Anal. Mach. Intell. 33 (6) (2011)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Rongtai Cai, Meigui Chen
Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. ICIC (3) (2011)
Cornelius Glackin, Liam P. Maguire, Liam McDaid, John J. Wade
Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction. IJCNN (2011)
Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, Habib Benali
A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis. IEEE Trans. Medical Imaging 30 (7) (2011)
Julie A. Wall, T. Martin McGinnity, Liam P. Maguire
A comparison of sound localisation techniques using cross-correlation and spiking neural networks for mobile robotics. IJCNN (2011)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire
A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural Networks 24 (6) (2011)
J. Wang, Ammar Belatreche, Liam P. Maguire, Thomas Martin McGinnity
A New Learning Algorithm for Adaptive Spiking Neural Networks. ICONIP (1) (2011)
Simon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity
An FPGA Hardware/Software Co-Design towards Evolvable Spiking Neural Networks for Robotics Application. Int. J. Neural Syst. 20 (6) (2010)
Xingfeng Li, Damien Coyle, Liam P. Maguire, Thomas Martin McGinnity, David R. Watson, Habib Benali
A least angle regression method for fMRI activation detection in phase-encoded experimental designs. NeuroImage 52 (4) (2010)
Michael McCann, Yuhua Li, Liam P. Maguire, Adrian Johnston
Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. NIPS Causality: Objectives and Assessment (2010)
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)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire
Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model. IJCNN (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)
Liam P. Maguire
Does Soft Computing Classify Research in Spiking Neural Networks? Int. J. Comput. Intell. Syst. 3 (2) (2010)
Basabdatta Sen Bhattacharya, Damien Coyle, Liam P. Maguire
Intra- and inter-connectivity influences on event related changes in thalamocortical alpha rhythms. BIC-TA (2010)
Thomas J. Strain, L. J. McDaid, T. Martin McGinnity, Liam P. Maguire, Heather M. Sayers
An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons. Int. J. Neural Syst. 20 (6) (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)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Patrick Dempster
Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System. ICIC (1) (2010)
German D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu
Review of Neuron Types in the Retina: Information Models for Neuroengineering. ICANN (1) (2009)
Michael F. Mc Bride, T. Martin McGinnity, Liam P. Maguire
Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks. ICANN (2) (2009)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Jianyong Cai
Detection of Straight Lines Using a Spiking Neural Network Model. ICNC (2) (2009)
J. Lu, Paul K. Humphreys, Ronan T. McIvor, Liam P. Maguire
Employing Genetic Algorithms to minimise the Bullwhip Effect in an online efficient-responsive supply chain. SOLI (2009)
Tina O'Donnell, Paul K. Humphreys, Ronan T. McIvor, Liam P. Maguire
Reducing the negative effects of sales promotions in supply chains using genetic algorithms. Expert Syst. Appl. 36 (4) (2009)
Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu
Emulating Spiking Neural Networks for edge detection on FPGA hardware. FPL (2009)
Xicai Yue, Emmanuel M. Drakakis, Jim Harkin, Michael J. Callaghan, T. Martin McGinnity, Liam P. Maguire
Modular hardware design for distant-internet embedded systems engineering laboratory. Comput. Appl. Eng. Educ. 17 (4) (2009)
Brendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
A Hardware Accelerated Simulation Environment for Spiking Neural Networks. ARC (2009)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell
Spiking Neural Network Performs Discrete Cosine Transform for Visual Images. ICIC (2) (2009)
Cornelius Glackin, Liam McDaid, Liam P. Maguire, Heather M. Sayers
Implementing Fuzzy Reasoning on a Spiking Neural Network. ICANN (2) (2008)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin
2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks 21 (9) (2008)
Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin
Hardware/Software Co-Design for Spike Based Recognition CoRR (2008)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, German D. Valderrama-Gonzalez
Motion Detection Using Spiking Neural Network Model. ICIC (2) (2008)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin
Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing 71 (10-12) (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)
Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin
Neuro-inspired Speech Recognition with Recurrent Spiking Neurons. ICANN (1) (2008)
Michael J. Callaghan, Jim Harkin, Thomas Martin McGinnity, Liam P. Maguire
Intelligent User Support in Autonomous Remote Experimentation Environments. IEEE Trans. Ind. Electron. 55 (6) (2008)
Michael J. Callaghan, Jim Harkin, E. McColgan, T. Martin McGinnity, Liam P. Maguire
Client-server architecture for collaborative remote experimentation. J. Netw. Comput. Appl. 30 (4) (2007)
Cornelius Glackin, Liam P. Maguire, Ronan T. McIvor, Paul K. Humphreys, Pawel Andrzej Herman
A comparison of fuzzy strategies for corporate acquisition analysis. Fuzzy Sets Syst. 158 (18) (2007)
Liam P. Maguire, T. Martin McGinnity, Brendan P. Glackin, Arfan Ghani, Ammar Belatreche, Jim Harkin
Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing 71 (1-3) (2007)
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin
Edge Detection Based on Spiking Neural Network Model. ICIC (2) (2007)
Jim Harkin, Michael J. Callaghan, Mehdi El-Gueddari, Malachy McElholm, T. Martin McGinnity, Liam P. Maguire
Extending Remote Experimentation Environments to Support Visual and Audio Impaired Users. Int. J. Online Eng. 3 (3) (2007)
Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
Paradigms in Remote Experimentation. Int. J. Online Eng. 3 (4) (2007)
Ammar Belatreche, Liam P. Maguire, T. Martin McGinnity
Advances in Design and Application of Spiking Neural Networks. Soft Comput. 11 (3) (2007)
Anthony G. McCloskey, Ronan T. McIvor, Liam P. Maguire, Paul K. Humphreys, Tina O'Donnell
A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach. Decis. Support Syst. 42 (1) (2006)
Michael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire
Client-Server Architecture for Remote Experimentation for Embedded Systems. Int. J. Online Eng. 2 (4) (2006)
Arfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin
Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware. FPL (2006)
Thomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity
A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons. IJCNN (2006)
Anita Greenhill, Liam P. Maguire, Seán Ó Nualláin, Maeve Paris
Book reviews. Artif. Intell. Rev. 25 (4) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liam P. Maguire