Liam P. Maguire - researchr alias

researchr

You are not signed in
Sign in
Sign up

2011

2010

2009

Robospike Sensory Processing for a Mobile Robot Using Spiking Neural NetworksMichael F. Mc Bride, T. Martin McGinnity, Liam P. Maguire. icann 2009: 794-803 [doi]

Reducing the negative effects of sales promotions in supply chains using genetic algorithmsTina O Donnell, Paul K. Humphreys, Ronan T. McIvor, Liam P. Maguire. eswa, 36(4):7827-7837, 2009. [doi]

Emulating Spiking Neural Networks for edge detection on FPGA hardwareBrendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu. fpl 2009: 670-673 [doi]

A Hardware Accelerated Simulation Environment for Spiking Neural NetworksBrendan P. Glackin, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. arc 2009: 336-341 [doi]

Review of Neuron Types in the Retina: Information Models for NeuroengineeringGerman D. Valderrama-Gonzalez, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu. icann 2009: 335-344 [doi]

Detection of Straight Lines Using a Spiking Neural Network ModelQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, German D. Valderrama-Gonzalez, Jianyong Cai. icnc 2009: 385-389 [doi]

Spiking Neural Network Performs Discrete Cosine Transform for Visual ImagesQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Arfan Ghani, Joan Condell. icic 2009: 21-29 [doi]

2008

Neuro-inspired Speech Recognition with Recurrent Spiking NeuronsArfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin. icann 2008: 513-522 [doi]

Implementing Fuzzy Reasoning on a Spiking Neural NetworkCornelius Glackin, Liam McDaid, Liam P. Maguire, Heather M. Sayers. icann 2008: 258-267 [doi]

Spiking neuron models of the medial and lateral superior olive for sound localisationJulie A. Wall, Liam McDaid, Liam P. Maguire, T. Martin McGinnity. ijcnn 2008: 2641-2647 [doi]

Motion Detection Using Spiking Neural Network ModelQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Jianyong Cai, G. D. Valderrama-Gonzalez. icic 2008: 76-83 [doi]

Processing visual stimuli using hierarchical spiking neural networksQ. X. Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin. ijon, 71(10-12):2055-2068, 2008. [doi]

2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanismQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin. NN, 21(9):1318-1327, 2008. [doi]

2007

Advances in Design and Application of Spiking Neural NetworksAmmar Belatreche, Liam P. Maguire, T. Martin McGinnity. soco, 11(3):239-248, 2007. [doi]

Paradigms in Remote ExperimentationMichael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. ijoe, 3(4), 2007. [doi]

Client-server architecture for collaborative remote experimentationMichael J. Callaghan, Jim Harkin, E. McColgan, T. Martin McGinnity, Liam P. Maguire. jnca, 30(4):1295-1308, 2007. [doi]

A comparison of fuzzy strategies for corporate acquisition analysisCornelius Glackin, Liam P. Maguire, Ronan T. McIvor, Paul K. Humphreys, Pawel Herman. fss, 158(18):2039-2056, 2007. [doi]

Extending Remote Experimentation Environments to Support Visual and Audio Impaired UsersJim Harkin, Michael J. Callaghan, Mehdi El-Gueddari, Malachy McElholm, T. Martin McGinnity, Liam P. Maguire. ijoe, 3(3), 2007. [doi]

Challenges for large-scale implementations of spiking neural networks on FPGAsLiam P. Maguire, T. Martin McGinnity, Brendan P. Glackin, Arfan Ghani, Ammar Belatreche, Jim Harkin. ijon, 71(1-3):13-29, 2007. [doi]

Learning Mechanisms in Networks of Spiking NeuronsQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche. In Ke Chen, Lipo Wang, editors, Trends in Neural Computation. Volume 35 of Studies in Computational Intelligence, pages 171-197, Springer, 2007. [doi]

Edge Detection Based on Spiking Neural Network ModelQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin. icic 2007: 26-34 [doi]

2006

Client-Server Architecture for Remote Experimentation for Embedded SystemsMichael J. Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. ijoe, 2(4), 2006. [doi]

Area Efficient Architecture for Large Scale Implementation of Biologically Plausible Spiking Neural Networks on Reconfigurable HardwareArfan Ghani, T. Martin McGinnity, Liam P. Maguire, Jim Harkin. fpl 2006: 1-2 [doi]

Book reviewsAnita Greenhill, Liam P. Maguire, Seán Ó Nualláin, Maeve Paris. air, 25(4):329-340, 2006. [doi]

A user-centred corporate acquisition system: a dynamic fuzzy membership functions approachAnthony G. McCloskey, Ronan T. McIvor, Liam P. Maguire, Paul K. Humphreys, Tina O Donnell. dss, 42(1):162-185, 2006. [doi]

A Supervised STDP Based Training Algorithm with Dynamic Threshold NeuronsThomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity. ijcnn 2006: 3409-3414 [doi]

Learning under weight constraints in networks of temporal encoding spiking neuronsQ. X. Wu, T. Martin McGinnity, Liam P. Maguire, Brendan P. Glackin, Ammar Belatreche. ijon, 69(16-18):1912-1922, 2006. [doi]

2005

Client-Server Architecture for Collaborative Remote ExperimentationMichael J. Callaghan, Jim Harkin, M. El-Gueddari, T. Martin McGinnity, Liam P. Maguire. icita 2005: 125-129 [doi]

A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA HardwareBrendan P. Glackin, T. Martin McGinnity, Liam P. Maguire, Qingxiang Wu, Ammar Belatreche. iwann 2005: 552-563 [doi]

Intelligent User-Support in Learning Environments for Remote ExperimentationJim Harkin, Michael J. Callaghan, T. Martin McGinnity, Liam P. Maguire. icita 2005: 119-124 [doi]

Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAsSimon Johnston, Girijesh Prasad, Liam P. Maguire, T. Martin McGinnity. icann 2005: 269-274 [doi]

Reducing Interconnection Resource Overhead in Nano-scale FPGAs through MVL Signal SystemsP. M. Kelly, T. Martin McGinnity, Liam P. Maguire. asap 2005: 282-287 [doi]

A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network ArchitecturesP. M. Kelly, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid. iwann 2005: 564-571 [doi]

A User Centred Approach to Management Decision MakingLiam P. Maguire, T. A. McCloskey, Paul K. Humphreys, Ronan T. McIvor. In Da Ruan, Guoqing Chen, Etienne E. Kerre, Geert Wets, editors, Intelligent Data Mining: Techniques and Applications. Volume 5 of Studies in Computational Intelligence, pages 439-461, Springer, 2005. [doi]

A symbiosis algorithm for robotic controlK. M. Ward, Mia Nazmul Haque Siddique, Liam P. Maguire, T. Martin McGinnity. cec 2005: 1988-1995 [doi]

Adaptive Co-ordinate Transformation Based on a Spike Timing-Dependent Plasticity Learning ParadigmQingxiang Wu, T. Martin McGinnity, Liam P. Maguire, Ammar Belatreche, Brendan P. Glackin. icnc 2005: 420-428 [doi]

2004

Cost effectiveness issues in remote experimentationMichael Callaghan, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. SMC 2004: 4700-4704 [doi]

Intelligent Remote ExperimentationMichael Callaghan, M. El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. webist 2004: 773-774 [doi]

Distributed Architecture for Adaptive Intelligent EnvironmentsMichael Callaghan, M. El-Gueddari, Jim Harkin, T. Martin McGinnity, Liam P. Maguire. webist 2004: 728-731 [doi]

Intrinsic and extrinsic implementation of a bio-inspired hardware systemBrendan P. Glackin, Liam P. Maguire, T. Martin McGinnity. isci, 161(1-2):1-19, 2004. [doi]

Modeling and optimizing run-time reconfiguration using evolutionary computationJim Harkin, T. Martin McGinnity, Liam P. Maguire. tecs, 3(4):661-685, 2004. [doi]

Using a fuzzy approach to support financial analysis in the corporate acquisition processRonan T. McIvor, Anthony G. McCloskey, Paul K. Humphreys, Liam P. Maguire. eswa, 27(4):533-547, 2004. [doi]

Development of a hybrid PCA-ANFIS measurement system for monitoring product quality in the coating industryKarol Warne, Girijesh Prasad, Mia Nazmul Haque Siddique, Liam P. Maguire. SMC 2004: 3519-3524 [doi]

2003

2002

Design philosophy for self-repair of electronic systems using the UMLEamomn A. Coyle, Liam P. Maguire, T. Martin McGinnity. iee, 149(6):179-186, 2002.

Hybrid Intelligent Architectures using a Neurofuzzy ApproachLiam P. Maguire, T. Martin McGinnity, Brendan P. Glackin. acil 2002: 147-158

2001

2000

Accelerating Embedded Applications using Dynamically Reconfigurable Hardware and Evolutionary AlgorithmsJim Harkin, T. Martin McGinnity, Liam P. Maguire. fccm 2000: 321-322 [doi]

1999

State Assignment Techniques in Multiple-Valued LogicK. J. Adams, J. G. Campbell, Liam P. Maguire, J. A. C. Webb. ismvl 1999: 220-225 [doi]

From a Fuzzy Flip-Flop to a MVL Flip-FlopLiam P. Maguire, T. Martin McGinnity, L. J. McDaid. ismvl 1999: 294-299 [doi]

Modeling architectures for VLSI Implementations of Fuzzy Logic SystemsB. Roche, T. Martin McGinnity, Liam P. Maguire, L. J. McDaid. isci, 115(1-4):1-9, 1999.

1998

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAsJ. J. Blake, Liam P. Maguire, B. Roche, T. Martin McGinnity, L. J. McDaid. isci, 112(1-4):151-168, 1998.

Predicting a Chaotic Time Series using Fuzzy Neural networkLiam P. Maguire, B. Roche, T. Martin McGinnity, L. J. McDaid. isci, 112(1-4):125-136, 1998.

1997

Hardware Implementation of a Membership Function Generator for Fuzzy ReasoningL. J. McDaid, T. Martin McGinnity, Liam P. Maguire. isci, 96(1&2):93-105, 1997.