L. Maguire

发表

Robospike Sensory Processing for a Mobile Robot Using Spiking Neural Networks

T. Martin McGinnity, Liam P. Maguire, Michael F. Mc Bride, 2009, ICANN.

Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1997, Inf. Sci..

Integrated architecture for remote experimentation

T. Martin McGinnity, Girijesh Prasad, Jim Harkin, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

An Internet-based methodology for remotely accessed embedded systems

Jim Harkin, Tm McGinnity, Liam Maguire, 2002, IEEE International Conference on Systems, Man and Cybernetics.

Applying genetic algorithms to dampen the impact of price fluctuations in a supply chain

Paul Humphreys, Liam Maguire, Frank Wiengarten, 2012 .

Environmental impacts of wind-energy projects

Erik Lundtang Petersen, Lance Manuel, Arpad Horvath, 2007 .

Statistical Methods for fMRI Activation and Effective Connectivity Studies

D. Coyle, T. McGinnity, L. Maguire, 2014 .

Modelling Cortical and Thalamocortical Synaptic Loss and Compensation Mechanisms in Alzheimer’s Disease

D. Coyle, L. Maguire, Kamal Abuhassan, 2015 .

Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms

Thomas H. Alderson, J. Kelso, A. Bokde, 2019, bioRxiv.

Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms

Thomas H. Alderson, J. Kelso, A. Bokde, 2019, bioRxiv.

Minimizing the bullwhip effect in a supply chain using genetic algorithms

Paul Humphreys, Liam Maguire, Ronan McIvor, 2006 .

Computational Study of Hippocampal-Septal Theta Rhythm Changes Due to Beta-Amyloid-Altered Ionic Channels

KongFatt Wong-Lin, Damien Coyle, Liam Maguire, 2011, PloS one.

Gray matter concentration and effective connectivity changes in Alzheimer’s disease: a longitudinal structural MRI study

Damien Coyle, Liam Maguire, Xingfeng Li, 2011, Neuroradiology.

A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2010, Frontiers in computational neuroscience.

Disrupted Thalamus White Matter Anatomy and Posterior Default Mode Network Effective Connectivity in Amnestic Mild Cognitive Impairment

Thomas H. Alderson, Elizabeth G. Kehoe, A. Bokde, 2017, Front. Aging Neurosci..

BiCMOS implementation of a fuzzy system

T. McGinnity, L. Maguire, L. McDaid, 1998 .

Introduction

Nazmul H. Siddique, Liam P. Maguire, Bernard Widrow, 2014, Int. J. Neural Syst..

SpikeTemp : an

L. Maguire, T. Mcginnity, A. Belatreche, 2019 .

A Spiking Neural Network Implementation of Sound Localization

L. Maguire, L. McDaid, T. Mcginnity, 2007 .

Compensating for synaptic loss in Alzheimer’s disease

D. Coyle, L. Maguire, A. Belatreche, 2014, Journal of Computational Neuroscience.

Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome

Damien Coyle, Liam P. Maguire, J. A. Scott Kelso, 2018, NeuroImage.

Colour Image Segmentation Based on a Spiking Neural Network Model Inspired by the Visual System

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2010, ICIC.

Remembering Key Features of Visual Images Based on Spike Timing Dependent Plasticity of Spiking Neurons

Jim Harkin, QingXiang Wu, Rongtai Cai, 2009, 2009 2nd International Congress on Image and Signal Processing.

Spiking Neural Network Performs Discrete Cosine Transform for Visual Images

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, ICIC.

Motion Detection Using Spiking Neural Network Model

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2008, ICIC.

Processing visual stimuli using hierarchical spiking neural networks

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neurocomputing.

Edge Detection Based on Spiking Neural Network Model

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2009, ICIC.

Learning Mechanisms in Networks of Spiking Neurons

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2007, Trends in Neural Computation.

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, IWANN.

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, 2011, The 2011 International Joint Conference on Neural Networks.

Spiking neuron models of the medial and lateral superior olive for sound localisation

Julie A. Wall, T. Martin McGinnity, Liam McDaid, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

A spiking neural network implementation of sound localisation

Julie Wall, Liam McDaid, Liam Maguire, 2007 .

A cognitive robotic ecology approach to self-configuring and evolving AAL systems

Davide Bacciu, Claudio Gallicchio, Alessio Micheli, 2015, Eng. Appl. Artif. Intell..

Novelty Detection Using Level Set Methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

An experimental evaluation of novelty detection methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, Neurocomputing.

A comparison of fuzzy strategies for corporate acquisition analysis

Cornelius Glackin, Pawel Andrzej Herman, Liam P. Maguire, 2007, Fuzzy Sets Syst..

Long Timescale fMRI Neuronal Adaptation Effects in Human Amblyopic Cortex

R. Hess, D. Coyle, L. Maguire, 2011, PloS one.

Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation

Ammar Belatreche, T. Martin McGinnity, Liam McDaid, 2010, Adv. Artif. Intell..

A locally adaptive boundary evolution algorithm for novelty detection using level set methods

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A review of learning in biologically plausible spiking neural networks

Ammar Belatreche, Yuhua Li, Aboozar Taherkhani, 2019, Neural Networks.

Genetic Programming Control of an Articulated Robotic Manipulator

K.M. Ward,, M.N.H. Siddique,, L.P. Maguire,, 2008 .

An Interval Type-2 Fuzzy Neural Network for Cognitive Decisions

Sonya Coleman, Tm McGinnity, Philip J. Vance, 2014 .

A user-centred corporate acquisition system: a dynamic fuzzy membership functions approach

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2006, Decis. Support Syst..

A User Centred Approach to Management Decision Making

Liam P. Maguire, T. A. McCloskey, Paul K. Humphreys, 2005, Intelligent Data Mining.

Using a fuzzy approach to support financial analysis in the corporate acquisition process

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2004, Expert Syst. Appl..

Modeling architectures for VLSI Implementations of Fuzzy Logic Systems

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1999, Inf. Sci..

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

Predicting a Chaotic Time Series using Fuzzy Neural network

T. Martin McGinnity, Liam McDaid, Liam P. Maguire, 1998, Inf. Sci..

A Fuzzy Neural Network for Approximate Fuzzy Reasoning

T. Martin McGinnity, Liam McDaid, Liam Maguire, 1997 .

EXTRACTION OF SOUND LOCALIZATION CUE UTILIZING PITCH CUE FOR MODELLING AUDITORY SYSTEM

Takatoshi Okuno, Tm McGinnity, Liam Maguire, 2011 .

Spectral and Non-linear Analysis of Thalamocortical Neural Mass Model Oscillatory Dynamics

Damien Coyle, Neslihan Serap Sengör, Basabdatta Sen Bhattacharya, 2014, Advanced Computational Approaches to Biomedical Engineering.

Model-based bifurcation and power spectral analyses of thalamocortical alpha rhythm slowing in Alzheimer's Disease

Damien Coyle, Neslihan Serap Sengör, Liam P. Maguire, 2013, Neurocomputing.

Alpha and theta rhythm abnormality in Alzheimer's Disease: a study using a computational model.

Damien Coyle, Basabdatta Sen Bhattacharya, Liam P Maguire, 2011, Advances in experimental medicine and biology.

Thalamocortical circuitry and alpha rhythm slowing: An empirical study based on a classic computational model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease

Damien Coyle, Basabdatta Sen Bhattacharya, Liam Maguire, 2010, BICS 2010.

Selecting Critical Patterns Based on Local Geometrical and Statistical Information

Yuhua Li, Liam P. Maguire, L. Maguire, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Compensating for thalamocortical synaptic loss in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2014, Front. Comput. Neurosci..

Investigating the Neural Correlates of Pathological Cortical Networks in Alzheimer's Disease Using Heterogeneous Neuronal Models

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2012, IEEE Transactions on Biomedical Engineering.

Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Kamal Abuhassan, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Assessing retino-geniculo-cortical connectivities in Alzheimer's Disease with a neural mass model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2011, 2011 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture

Jim Harkin, Junxiu Liu, Liam P. Maguire, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2018, IEEE Transactions on Neural Networks and Learning Systems.

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Does Soft Computing Classify Research in Spiking Neural Networks?

Liam P. Maguire, L. Maguire, 2010, Int. J. Comput. Intell. Syst..

Challenges for large-scale implementations of spiking neural networks on FPGAs

Ammar Belatreche, T. Martin McGinnity, Jim Harkin, 2007, Neurocomputing.

A visual attention model based on hierarchical spiking neural networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2013, Neurocomputing.

An online supervised learning method for spiking neural networks with adaptive structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2014, Neurocomputing.

SpikeTemp: An Enhanced Rank-Order-Based Learning Approach for Spiking Neural Networks With Adaptive Structure

Ammar Belatreche, T. Martin McGinnity, Jinling Wang, 2017, IEEE Transactions on Neural Networks and Learning Systems.

A least angle regression method for fMRI activation detection in phase-encoded experimental designs

T. Martin McGinnity, Damien Coyle, Habib Benali, 2010, NeuroImage.

Statistical and computational intelligence techniques for inferential model development: a comparative evaluation and a novel proposition for fusion

Girijesh Prasad, Liam P. Maguire, Sina Rezvani, 2004, Eng. Appl. Artif. Intell..

Multi-DL-ReSuMe: Multiple neurons Delay Learning Remote Supervised Method

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

A new biologically plausible supervised learning method for spiking neurons

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2014, ESANN.

Online versus offline learning for spiking neural networks: A review and new strategies

Ammar Belatreche, Jinling Wang, Martin McGinnity, 2010, 2010 IEEE 9th International Conference on Cyberntic Intelligent Systems.

Implementing Fuzzy Reasoning on a Spiking Neural Network

Cornelius Glackin, Liam McDaid, Liam P. Maguire, 2008, ICANN.

Maximum likelihood estimation for second level fMRI data analysis with expectation trust region algorithm.

Xingfeng Li, Liam Maguire, Damien Coyle, 2014, Magnetic resonance imaging.

Intelligent Systems Technology in the Fault Diagnosis of Electronic Systems

Tm McGinnity, Liam Maguire, Billy Fenton, 2005 .

Fault diagnosis of electronic systems using intelligent techniques: a review

T. Martin McGinnity, Liam P. Maguire, W. G. Fenton, 2001, IEEE Trans. Syst. Man Cybern. Part C.

Evolutionary design of spiking neural networks.

Qingxiang Wu, Ammar Belatreche, Martin McGinnity, 2006 .

A symbiosis algorithm for robotic control

T. Martin McGinnity, Nazmul H. Siddique, Liam P. Maguire, 2005, 2005 IEEE Congress on Evolutionary Computation.

Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control

Yuhua Li, Liam P. Maguire, Michael McCann, 2008, NIPS Causality: Objectives and Assessment.

A novel intelligent approach to anchorage measurement using electron microscopy

Girijesh Prasad, Nazmul H. Siddique, Liam P. Maguire, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Evaluation of Sampling Methods for Learning from Imbalanced Data

Yuhua Li, Liam P. Maguire, Seán F. McLoone, 2013, ICIC.

Simulation of Visual Attention Using Hierarchical Spiking Neural Networks

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2011, ICIC.

A Hardware Accelerated Simulation Environment for Spiking Neural Networks

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2009, ARC.

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2008, Neural Networks.

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning Paradigm

Qingxiang Wu, Ammar Belatreche, T. Martin McGinnity, 2005, ICNC.

A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Liam P. Maguire, 2012, Neuroinformatics.

A Model Selection Method for Nonlinear System Identification Based fMRI Effective Connectivity Analysis

T. Martin McGinnity, Damien Coyle, Habib Benali, 2011, IEEE Transactions on Medical Imaging.

Constructing minimum volume surfaces using level set methods for novelty detection

Ammar Belatreche, Yuhua Li, Liam P. Maguire, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A Model-View-Controller (MVC) architecture for contextual visualisation of task-based multi-dimensional energy KPIs in a manufacturing process

Malachy McElholm, Nadeem Qazi, Liam Maguire, 2018 .

Speed of Rapid Serial Visual Presentation of Pictures, Numbers and Words Affects Event-Related Potential-Based Detection Accuracy

Damien Coyle, Fabien Lotte, Liam Maguire, 2019, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Advances in Design and Application of Spiking Neural Networks

Ammar Belatreche, T. Martin McGinnity, Liam P. Maguire, 2006, Soft Comput..

Assessing Alpha Band Event-related Synchronisation/Desynchronisation Using a Bio-Inspired Computational Model

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2012, J. Univers. Comput. Sci..

Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain

Paul Humphreys, Liam Maguire, Ronan McIvor, 2020, Int. J. Prod. Res..

A Review of Rapid Serial Visual Presentation-based Brain-1 Computer Interfaces 2

Damien Coyle, Fabien Lotte, Hubert Cecotti, 2017 .

A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease

Damien Coyle, Liam P. Maguire, Basabdatta Sen Bhattacharya, 2011, Neural Networks.

Novelty detection in user behavioural models within ambient assisted living applications: An experimental evaluation

T. Martin McGinnity, Sonya A. Coleman, Liam P. Maguire, 2014, 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014).

Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

Emulating Spiking Neural Networks for edge detection on FPGA hardware

Qingxiang Wu, T. Martin McGinnity, Jim Harkin, 2009, 2009 International Conference on Field Programmable Logic and Applications.

Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics

KongFatt Wong-Lin, Damien Coyle, Liam P. Maguire, 2011, Journal of Computational Neuroscience.

Neuro-Inspired Speech Recognition Based on Reservoir Computing

Ammar Belatreche, Liam McDaid, Tm McGinnity, 2010 .

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, Third International Conference on Information Technology and Applications (ICITA'05).

Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable Hardware

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, 2006 International Conference on Field Programmable Logic and Applications.

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ICANN.

Hardware/Software Co-Design for Spike Based Recognition pdf

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, ArXiv.

Online fault detection for Networks-on-Chip interconnect

Jim Harkin, Junxiu Liu, Yuhua Li, 2014, 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS).

Low cost fault-tolerant routing algorithm for Networks-on-Chip

Jim Harkin, Junxiu Liu, Yuhua Li, 2015, Microprocess. Microsystems.

Review of Neuron Types in the Retina: Information Models for Neuroengineering

Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire, 2009, ICANN.

A Genetic Algorithm approach to reducing the Bullwhip Effect by investigating the efficient and responsive strategy in online supply chains

P. Humphreys, L. Maguire, J Lu, 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

Employing genetic algorithms to minimise the bullwhip effect in a supply chain

P. Humphreys, L. Maguire, P. Humphreys, 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.

Intrinsic and extrinsic implementation of a bio-inspired hardware system

T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, 2004, Inf. Sci..

Reducing the negative effects of sales promotions in supply chains using genetic algorithms

Liam P. Maguire, Paul K. Humphreys, Ronan T. McIvor, 2009, Expert Syst. Appl..

Downstream performance prediction for a manufacturing system using neural networks and six-sigma improvement techniques

Tm McGinnity, Liam Maguire, A. B. Johnston, 2009 .

A review of rapid serial visual presentation-based brain–computer interfaces

F. Lotte, D. Coyle, L. Maguire, 2018, Journal of neural engineering.

Compensating for synaptic loss in Alzheimer’s disease

Ammar Belatreche, Damien Coyle, Liam P. Maguire, 2013, Journal of Computational Neuroscience.

Self-repairing hardware with astrocyte-neuron networks

Liam McDaid, Malachy McElholm, Jim Harkin, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).