Jim Harkin

发表

Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs

Liam McDaid, Malachy McElholm, Jim Harkin, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Fixed latency on-chip interconnect for hardware spiking neural network architectures

Gerard J. M. Smit, Liam McDaid, Fearghal Morgan, 2013, Parallel Comput..

Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers

Liam McDaid, Fearghal Morgan, Jim Harkin, 2012, Neural Networks.

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).

Extending Remote Experimentation Environments to Support Visual and Audio Impaired Users

T. Martin McGinnity, Malachy McElholm, Jim Harkin, 2007, Int. J. Online Eng..

Using Game-Based Learning in Virtual Worlds to Teach Electronic and Electrical Engineering

Shane Wilson, Jim Harkin, Michael J. Callaghan, 2013, IEEE Transactions on Industrial Informatics.

A Hardware Accelerated Simulation Environment for Spiking Neural Networks

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

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.

Paradigms in Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2007, Int. J. Online Eng..

Investigating the Suitability of FPAAs for Evolved Hardware Spiking Neural Networks

Fearghal Morgan, Jim Harkin, Brian McGinley, 2008, ICES.

Adding Security to Networks-on-Chip using Neural Networks

Chris D. Nugent, Liam McDaid, Jim Harkin, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Fine-Grained Fault-Tolerant Adaptive Routing for Networks-on-Chip

Jim Harkin, Lei Wan, Junxiu Liu, 2015, ICA3PP.

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).

Tile implementation strategy for Self-Repairing systems

Jim Harkin, Tm McGinnity, Patrick Dempster, 2006 .

Potassium and sodium microdomains in thin astroglial processes: A computational model study

KongFatt Wong-Lin, Liam McDaid, Jim Harkin, 2018, PLoS Comput. Biol..

Accelerating embedded applications using dynamically reconfigurable hardware and evolutionary algorithms

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2000, Proceedings 2000 IEEE Symposium on Field-Programmable Custom Computing Machines (Cat. No.PR00871).

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Integrating virtual worlds & virtual learning environments for online education

Shane Wilson, Jim Harkin, Michael J. Callaghan, 2009, 2009 International IEEE Consumer Electronics Society's Games Innovations Conference.

Online traffic-aware fault detection for networks-on-chip

Jim Harkin, Junxiu Liu, Yuhua Li, 2014, J. Parallel Distributed Comput..

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

On-chip communication for neuro-glia networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2018, IET Comput. Digit. Tech..

Case Study on the Bluetooth Vulnerabilities in Mobile Devices

Jim Harkin, Tm McGinnity, A solon, 2006 .

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 WIRELESS APPROACH TO DEVICE-FREE LOCALISATION (DFL) FOR INDOOR ENVIRONMENTS

Kevin Curran, Girijesh Prasad, Jim Harkin, 2011 .

Fault-Tolerant Networks-on-Chip Routing With Coarse and Fine-Grained Look-Ahead

Jim Harkin, Junxiu Liu, Yuhua Li, 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance

Liam McDaid, Jim Harkin, J. A. Scott Kelso, 2013, Front. Comput. Neurosci..

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network

Jim Harkin, Jon Timmis, Junxiu Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

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.

Low Overhead Monitor Mechanism for Fault-Tolerant Analysis of NoC

Jim Harkin, Junxiu Liu, Yuhua Li, 2014, 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs.

Predicting Local Congestion at Fine-grain Levels in Networks-on-Chip Using Spiking Neural Networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2020 .

Multi-disciplinary Requirements for Remote Experimentation Implementation

Jim Harkin, Tm McGinnity, Liam Maguire, 2004 .

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes

Qiang Fu, Liam McDaid, Jim Harkin, 2017, IWANN.

Internal Location Based Services using Wireless Sensor Networks and RFID Technology

Jim Harkin, Michael McBride, Michael Callaghan, 2006 .

A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks

Liam McDaid, Fearghal Morgan, Jim Harkin, 2009, Int. J. Reconfigurable Comput..

Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments

Kevin Curran, Girijesh Prasad, Jim Harkin, 2015, Int. J. Wirel. Networks Broadband Technol..

Using Learning Analytics and Learning using Learning Styles to Personalise Content in Adaptive Educational Systems

Jim Harkin, Michael Callaghan, K. McCusker, 2014 .

A collaborative environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings 2003 IEEE International Conference on Microelectronic Systems Education. MSE'03.

Genetic algorithm driven hardware-software partitioning for dynamically reconfigurable embedded systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, Microprocess. Microsystems.

Hardware spiking neural network prototyping and application

Liam McDaid, Fearghal Morgan, Jim Harkin, 2011, Genetic Programming and Evolvable Machines.

Intelligent assessment and content personalisation in adaptive educational systems

Shane Wilson, Jim Harkin, Michael J. Callaghan, 2013, 2013 12th International Conference on Information Technology Based Higher Education and Training (ITHET).

Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardware

Liam McDaid, Jim Harkin, Snaider Carrillo, 2015, Evolvable Hardware.

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.

Self-repairing hardware with astrocyte-neuron networks

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

Layered tile architecture for efficient hardware spiking neural networks

Liam McDaid, Jim Harkin, Lei Wan, 2017, Microprocess. Microsystems.

Walled City to Wireless City

Jim Harkin, Sandra Moffett, Derek Woods, 2009 .

Reconfigurable Platforms & the Challenges for Large-Scale Implementations of SNNs

Piotr Dudek, Liam McDaid, Jim Harkin, 2009, FPL 2009.

Analysis of device-free localisation (DFL) techniques for indoor environments

Kevin Curran, Girijesh Prasad, Jim Harkin, 2010 .

Client-Server Architecture for Collaborative Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2005, ICITA.

EMBRACE: emulating biologically-inspired architectures on hardware

Liam McDaid, Jim Harkin, Yajie Chen, 2008 .

Scalable Hierarchical Network-on-Chip Architecture for Spiking Neural Network Hardware Implementations

Liam McDaid, Fearghal Morgan, Jim Harkin, 2013, IEEE Transactions on Parallel and Distributed Systems.

An evolvable NoC-based spiking neural network architecture

Liam McDaid, Fearghal Morgan, Jim Harkin, 2009 .

Case study: Bio-inspired self-adaptive strategy for spike-based PID controller

Liam McDaid, Malachy McElholm, Jim Harkin, 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective

Jim Harkin, Jon Timmis, Junxiu Liu, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

Partitioning methodology for dynamically reconfigurable embedded systems

Jim Harkin, Tm McGinnity, Liam Maguire, 2000 .

Hardware-Software Partitioning: A Reconfigurable and Evolutionary Computing Approach

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2001, FPL.

Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware

Liam McDaid, Jim Harkin, Junxiu Liu, 2016, ICANN.

An Internet-based methodology for remotely accessed embedded systems

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

Intelligent User-Support in Learning Environments for Remote Experimentation

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

Case study: Impact of auxiliary energy in manufacturing operations

Malachy McElholm, Jim Harkin, Liam Maguire, 2018, 2018 2nd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS).

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

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

Stakes and Issues for Collaborative Remote Laboratories in Virtual Environments

Jacques Fayolle, Jim Harkin, Benjamin Jailly, 2012 .

A Novel Self-Repairing Platform for Embedded Systems

Jim Harkin, Tm McGinnity, Patrick Dempster, 2006 .

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip

Liam McDaid, Jim Harkin, Junxiu Liu, 2020, 2020 IEEE International Symposium on Circuits and Systems (ISCAS).

The impact of neural model resolution on hardware spiking neural network behaviour

Liam McDaid, Fearghal Morgan, Jim Harkin, 2010 .

Client-Server Architecture for Remote Experimentation for Embedded Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2006, Int. J. Online Eng..

Modeling and optimizing run-time reconfiguration using evolutionary computation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, TECS.

Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks

Piotr Dudek, Liam McDaid, Fearghal Morgan, 2008, 2008 International Conference on Field Programmable Logic and Applications.

Self-repairing mobile robotic car using astrocyte-neuron networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

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.

Counteracting Dynamical Degradation of Digital Chaotic Chebyshev Map via Perturbation

Jim Harkin, Junxiu Liu, Yuling Luo, 2017, Int. J. Bifurc. Chaos.

Advances in Scalable, Adaptive Interconnect for Reconfigurable Bio-Inspired Computational Platforms

Liam McDaid, Fearghal Morgan, Jim Harkin, 2011 .

Integrating Virtual Learning Environments & Virtual Worlds in Remote Laboratories

Shane Wilson, Jim Harkin, Michael Callaghan, 2009 .

An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations

Liam McDaid, Fearghal Morgan, Jim Harkin, 2010, ICES.

Hardware/Software Co-Design for Spike Based Recognition pdf

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

Game-based strategy to teaching electronic & electrical engineering in virtual worlds

Shane Wilson, Jim Harkin, Michael J. Callaghan, 2010, 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference.

Future Directions in Remote Collaborative Working for Engineering Education

Jim Harkin, Michael Callaghan, K. McCusker, 2009 .

Bio-inspired fault detection circuits based on synapse and spiking neuron models

Liam McDaid, Jim Harkin, Junxiu Liu, 2019, Neurocomputing.

Hierarchical Network-on-Chip and Traffic Compression for Spiking Neural Network Implementations

Liam McDaid, Fearghal Morgan, Jim Harkin, 2012, 2012 IEEE/ACM Sixth International Symposium on Networks-on-Chip.

Efficient neuron architecture for FPGA-based spiking neural networks

Jim Harkin, Lei Wan, Junxiu Liu, 2016, 2016 27th Irish Signals and Systems Conference (ISSC).

Exploring retrograde signaling via astrocytes as a mechanism for self repair

Valeriu Beiu, Liam McDaid, Jim Harkin, 2011, The 2011 International Joint Conference on Neural Networks.

Intelligent User Support in Autonomous Remote Experimentation Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2008, IEEE Transactions on Industrial Electronics.

Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks

Yi Cao, Liam McDaid, Jim Harkin, 2018, Front. Neurosci..

Autonomous Learning Paradigm for Spiking Neural Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2019, ICANN.

Distributed Architecture for Adaptive Intelligent Environments

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Hardware-software Partitioning applied to Reconfigurable Embedded Systems

Jim Harkin, Tm McGinnity, Liam Maguire, 1999 .

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, 2017 International Conference on Field Programmable Technology (ICFPT).

Adaptive intelligent environment for remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

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

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

Experiential based learning in 3D Virtual Worlds: Visualization and data integration in Second Life

Filippo Sanfilippo, Shane Wilson, Jim Harkin, 2008 .

Bio-Inspired Online Fault Detection in NoC Interconnect

Liam McDaid, Malachy McElholm, Jim Harkin, 2014 .

Using situated learning theory to explore Tablet Pc use in academic work: perceptions of staff and students

Jim Harkin, Tm McGinnity, Michael Callaghan, 2007 .

On-chip and Off-chip Real-Time Debugging for Remotely-Accessed Embedded Programmable Systems

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2003, FPL.

Modular hardware design for distant‐internet embedded systems engineering laboratory

T. Martin McGinnity, Emmanuel M. Drakakis, Jim Harkin, 2009, Comput. Appl. Eng. Educ..

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).

EMBRACE-SysC for analysis of NoC-based Spiking Neural Network architectures

Liam McDaid, Fearghal Morgan, Jim Harkin, 2010, 2010 International Symposium on System on Chip.

Addressing the Hardware Resource Requirements of Network-on-chip based Neural Architectures

Liam McDaid, Fearghal Morgan, Jim Harkin, 2011, IJCCI.

2014 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2014, Leicester, United Kingdom, July 14-17, 2014

Paolo Prinetto, Wei Zhang, Ali Ebrahim, 2014, AHS.

Extending Existing Resource Functionality For Internet Based Remote Access Laboratories

Jim Harkin, Tm McGinnity, Liam Maguire, 2002 .

Forest fire detection using spiking neural networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2018, CF.

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, ICONIP.

An Efficient, Low-Cost Routing Architecture for Spiking Neural Network Hardware Implementations

Jim Harkin, Lei Wan, Yi Cao, 2018, Neural Processing Letters.

On-chip and Off-chip Real Time Debugging for Remotely-Accessed Programmablr Systems

Jim Harkin, Tm McGinnity, Liam Maguire, 2003 .

Client-Server Architecture for Collaborative Lecture-Led Remote Experimentation

Jim Harkin, Tm McGinnity, Liam Maguire, 2006 .

A collaborative environment for remote experimentation

Jim Harkin, Tm McGinnity, Liam Maguire, 2003, Proceedings 2003 IEEE International Conference on Microelectronic Systems Education. MSE'03.

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Cost effectiveness issues in remote experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

AstroByte: A multi-FPGA Architecture for Accelerated Simulations of Fault-tolerant Spiking Astrocyte-Neuron Networks

Liam McDaid, Jim Harkin, Bryan Gardiner, 2019 .

Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding

Liam McDaid, Jim Harkin, Snaider Carrillo, 2012, Int. J. Adapt. Resilient Auton. Syst..

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID).

Fault Detection Strategy for Self-Repairing Systems

Jim Harkin, Tm McGinnity, Patrick Dempster, 2007 .

Bio-inspired Anomaly Detection for Low-cost Gas Sensors

Liam McDaid, Jim Harkin, Junxiu Liu, 2018, 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO).

Novel Interconnect Strategy for Large Scale Implementations of Neural Networks

Jim Harkin, W McElholm, 2007 .

Bio-inspired hierarchical framework for multi-view face detection and pose estimation

Ammar Belatreche, Jim Harkin, Yuhua Li, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Rapid application prototyping for hardware modular spiking neural network architectures

Liam McDaid, Fearghal Morgan, Jim Harkin, 2015, Neural Computing and Applications.

Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations

Liam McDaid, Fearghal Morgan, Jim Harkin, 2011, ICANN.

An memristor-based synapse implementation using BCM learning rule

Liam McDaid, Jim Harkin, Junxiu Liu, 2021, Neurocomputing.

On the role of astroglial syncytia in self-repairing spiking neural networks

Liam McDaid, Jim Harkin, John J. Wade, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Integrated Remote Experimentation

Jim Harkin, Liam Maguire, TM McGinnity, 2004 .

Hybrid Remote/Virtual Laboratories with Virtual Learning Environment Integration

Shane Wilson, Jim Harkin, Michael Callaghan, 2010 .

Distributed Learning Environment for Remotely Accessed Embedded Systems

Jim Harkin, Liam Maguire, Michael Callaghan, 2004 .

EMBRACE:EmulatingBiologically-InspiredArchitecturesonHardware

Liam McDaid, Jim Harkin, J. S. Marsland, 2008 .

A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability

KongFatt Wong-Lin, Liam McDaid, Jim Harkin, 2018, PLoS Comput. Biol..

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Bio-Inspired Hybrid Framework for Multi-view Face Detection

Ammar Belatreche, Jim Harkin, Yuhua Li, 2015, ICONIP.

Minimising Impact of Local Congestion in Networks-on-Chip Performance by Predicting Buffer Utilisation

Liam McDaid, Jim Harkin, Junxiu Liu, 2020, 2020 31st Irish Signals and Systems Conference (ISSC).

Emulating Biologically Inspired Architectures in Hardware: A New Reconfigurable Paradigm for Computation

Liam McDaid, Fearghal Morgan, Jim Harkin, 2008 .

Technology Supported Pedagogy in a Flexible, Mobile, Learning Environment

Jim Harkin, Derek Woods, Tm McGinnity, 2006 .

Evaluation of Technology Supported Pedagogy

Jim Harkin, Derek Woods, Tm McGinnity, 2006 .

An authentication strategy based on spatiotemporal chaos for software copyright protection

Liam McDaid, Jim Harkin, Yuling Luo, 2015, Secur. Commun. Networks.

Internal Localisation Techniques using Wireless Networks: A Review

Girijesh Prasad, Jim Harkin, Michael Callaghan, 2007 .

Programmable architectures for large-scale implementations of Spiking Neural Networks

Liam McDaid, Fearghal Morgan, Jim Harkin, 2008 .

Astrocyte to spiking neuron communication using Networks-on-Chip ring topology

Liam McDaid, Fearghal Morgan, Jim Harkin, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

An Internet based remote access experimental laboratory for embedded systems

Jim Harkin, Tm McGinnity, Liam Maguire, 2002 .

Intelligent Remote Experimentation

T. Martin McGinnity, Jim Harkin, Liam P. Maguire, 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling

Liam McDaid, Jim Harkin, J. A. Scott Kelso, 2012, Front. Comput. Neurosci..

Automated User Support in Remote Experimentation Laboratories

Jim Harkin, Tm McGinnity, Liam Maguire, 2008 .

Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network

Gerard J. M. Smit, Liam McDaid, Fearghal Morgan, 2013, Neural Processing Letters.

Neuro-inspired Speech Recognition with Recurrent Spiking Neurons

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

Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft

Liam McDaid, Jim Harkin, Marinus Toman, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Hardware acceleration of genomics data analysis: challenges and opportunities

Jim Harkin, Tony Robinson, Priyank Shukla, 2021, Bioinform..

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks

Liam McDaid, Jim Harkin, Aqib Javed, 2021, J. Parallel Distributed Comput..

Counteracting dynamical degradation of a class of digital chaotic systems via Unscented Kalman Filter and perturbation

Jim Harkin, Yuling Luo, Shunbin Tang, 2021, Inf. Sci..

Cryptanalysis and Improvement of a Chaotic Map-Control-Based and the Plain Image-Related Cryptosystem

Jim Harkin, Yuling Luo, Senhui Qiu, 2019 .