Liam McDaid

Orcid: 0000-0002-1197-4375

Affiliations:
  • Ulster University, UK


According to our database1, Liam McDaid authored at least 110 papers between 1997 and 2024.

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Bibliography

2024
Mathematical Modeling of PI3K/Akt Pathway in Microglia.
Neural Comput., April, 2024

Artificial Neural Microcircuits as Building Blocks: Concept and Challenges.
CoRR, 2024

2023
Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

2021
Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia.
PLoS Comput. Biol., 2021

Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks.
J. Parallel Distributed Comput., 2021

An memristor-based synapse implementation using BCM learning rule.
Neurocomputing, 2021

Spiking Neural Network-based Structural Health Monitoring Hardware System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Case Study - Spiking Neural Network Hardware System for Structural Health Monitoring.
Sensors, 2020

Exploring Spiking Neural Networks for Prediction of Traffic Congestion in Networks-on-Chip.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2019

Bio-inspired fault detection circuits based on synapse and spiking neuron models.
Neurocomputing, 2019

Autonomous Learning Paradigm for Spiking Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture.
IEEE Trans. Neural Networks Learn. Syst., 2018

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability.
PLoS Comput. Biol., 2018

Potassium and sodium microdomains in thin astroglial processes: A computational model study.
PLoS Comput. Biol., 2018

Fan-in analysis of a leaky integrator circuit using charge transfer synapses.
Neurocomputing, 2018

On-chip communication for neuro-glia networks.
IET Comput. Digit. Tech., 2018

ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems.
Frontiers Robotics AI, 2018

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs.
Proceedings of the 31st International Conference on VLSI Design and 17th International Conference on Embedded Systems, 2018

Scalable Bio-inspired Fault Detection, Isolation and Recovery in NoCs.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Adding Security to Networks-on-Chip using Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Forest fire detection using spiking neural networks.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018

2017
Rapid application prototyping for hardware modular spiking neural network architectures.
Neural Comput. Appl., 2017

Layered tile architecture for efficient hardware spiking neural networks.
Microprocess. Microsystems, 2017

An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes.
Proceedings of the Advances in Computational Intelligence, 2017

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks.
Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

The Pi-puck extension board: A raspberry Pi interface for the e-puck robot platform.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs.
Proceedings of the International Conference on Field Programmable Technology, 2017

2016
Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Astrocyte to spiking neuron communication using Networks-on-Chip ring topology.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Self-repairing hardware with astrocyte-neuron networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Self-repairing mobile robotic car using astrocyte-neuron networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hierarchical Networks-on-Chip Interconnect for Astrocyte-Neuron Network Hardware.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardware.
Proceedings of the Evolvable Hardware - From Practice to Application, 2015

On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2015

An authentication strategy based on spatiotemporal chaos for software copyright protection.
Secur. Commun. Networks, 2015

Case study: Bio-inspired self-adaptive strategy for spike-based PID controller.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
A compact spike-timing-dependent-plasticity circuit for floating gate weight implementation.
Neurocomputing, 2014

2013
Scalable Hierarchical Network-on-Chip Architecture for Spiking Neural Network Hardware Implementations.
IEEE Trans. Parallel Distributed Syst., 2013

Biologically Inspired SNN for Robot Control.
IEEE Trans. Cybern., 2013

Fixed latency on-chip interconnect for hardware spiking neural network architectures.
Parallel Comput., 2013

Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network.
Neural Process. Lett., 2013

A simple programmable axonal delay scheme for spiking neural networks.
Neurocomputing, 2013

Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance.
Frontiers Comput. Neurosci., 2013

2012
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference.
IEEE Trans. Neural Networks Learn. Syst., 2012

Silicon-Based Dynamic Synapse With Depressing Response.
IEEE Trans. Neural Networks Learn. Syst., 2012

Synchrony: A spiking-based mechanism for processing sensory stimuli.
Neural Networks, 2012

Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers.
Neural Networks, 2012

Evaluating the generalisation capability of a CMOS based synapse.
Neurocomputing, 2012

Introduction.
Int. J. Neural Syst., 2012

Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding.
Int. J. Adapt. Resilient Auton. Syst., 2012

Self-repair in a Bidirectionally Coupled Astrocyte-Neuron (AN) System based on Retrograde Signaling.
Frontiers Comput. Neurosci., 2012

Hierarchical Network-on-Chip and Traffic Compression for Spiking Neural Network Implementations.
Proceedings of the 2012 Sixth IEEE/ACM International Symposium on Networks-on-Chip (NoCS), 2012

2011
On Two-Layer Brain-Inspired Hierarchical Topologies - A Rent's Rule Approach -.
Trans. High Perform. Embed. Archit. Compil., 2011

Receptive field optimisation and supervision of a fuzzy spiking neural network.
Neural Networks, 2011

Hardware spiking neural network prototyping and application.
Genet. Program. Evolvable Mach., 2011

Exploring retrograde signaling via astrocytes as a mechanism for self repair.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Lateral inhibitory networks: Synchrony, edge enhancement, and noise reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Evaluating the training dynamics of a CMOS based synapse.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Addressing the Hardware Resource Requirements of Network-on-chip based Neural Architectures.
Proceedings of the NCTA 2011, 2011

Adaptive Routing Strategies for Large Scale Spiking Neural Network Hardware Implementations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
SWAT: A Spiking Neural Network Training Algorithm for Classification Problems.
IEEE Trans. Neural Networks, 2010

An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons.
Int. J. Neural Syst., 2010

Case Study on a Self-Organizing Spiking Neural Network for Robot Navigation.
Int. J. Neural Syst., 2010

A Spiking Neural Network Model of the Medial Superior Olive Using Spike Timing Dependent Plasticity for Sound Localization.
Frontiers Comput. Neurosci., 2010

Computing with Biologically Inspired Neural Oscillators: Application to Colour Image Segmentation.
Adv. Artif. Intell., 2010

EMBRACE-SysC for analysis of NoC-based Spiking Neural Network architectures.
Proceedings of the 2010 International Symposium on System on Chip, SoC 2010, Tampere, 2010

Feature extraction from spectro-temporal signals using dynamic synapses, recurrency, and lateral inhibition.
Proceedings of the International Joint Conference on Neural Networks, 2010

Application of biologically inspired neural oscillators to colour image segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2010

An Efficient, High-Throughput Adaptive NoC Router for Large Scale Spiking Neural Network Hardware Implementations.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2010

2009
A Reconfigurable and Biologically Inspired Paradigm for Computation Using Network-On-Chip and Spiking Neural Networks.
Int. J. Reconfigurable Comput., 2009

Neuro inspired reconfigurable architecture for hardware/software co-design.
Proceedings of the Annual IEEE International SoC Conference, SoCC 2009, 2009

Reduced Interconnects in Neural Networks Using a Time Multiplexed Architecture Based on Quantum Devices.
Proceedings of the Nano-Net - 4th International ICST Conference, 2009

On Two-Layer Hierarchical Networks How Does the Brain Do This?
Proceedings of the Nano-Net - 4th International ICST Conference, 2009

2008
A Solid-State Neuron for Spiking Neural Network Implementation.
Eng. Lett., 2008

On brain-inspired connectivity and hybrid network topologies.
Proceedings of the 2008 IEEE International Symposium on Nanoscale Architectures, 2008

Spiking neuron models of the medial and lateral superior olive for sound localisation.
Proceedings of the International Joint Conference on Neural Networks, 2008

SWAT: An unsupervised SNN training algorithm for classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2008

A programmable facilitating synapse device.
Proceedings of the International Joint Conference on Neural Networks, 2008

A time multiplexed architecture for neural networks using quantum devices.
Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

Implementing Fuzzy Reasoning on a Spiking Neural Network.
Proceedings of the Artificial Neural Networks, 2008

Reconfigurable platforms and the challenges for large-scale implementations of spiking neural networks.
Proceedings of the FPL 2008, 2008

2007
Inter-neuron communication strategies for spiking neural networks.
Neurocomputing, 2007

Analog Spiking Neuron with Charge-Coupled Synapses.
Proceedings of the World Congress on Engineering, 2007

A Biologically Plausible Neuron Circuit.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Silicon Synapse Based on a Charge Transfer Device for Spiking Neural Network Application.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Inter-Neuron Communications for Large-Scale Neural Networks using Capacitive Coupling.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons.
Proceedings of the International Joint Conference on Neural Networks, 2006

On the Design of a Low Power Compact Spiking Neuron Cell Based on Charge-Coupled Synapses.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Time Multiplexing Architecture for Inter-neuron Communications.
Proceedings of the Artificial Neural Networks, 2006

2005
A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Evolving Task Specific Algorithms for Machine Vision Applications.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

2004
Integration of UML and VHDL-AMS for analogue system modelling.
Formal Aspects Comput., 2004

Third order loose coupled hybrid intelligent system for machine vision applications.
Proceedings of the IEEE International Conference on Systems, 2004

VHDL-AMS code gneration from UML structural representations.
Proceedings of the Forum on specification and Design Languages, 2004

2001
Signalling techniques and their effect on neural network implementation sizes.
Inf. Sci., 2001

1999
Issues in the development of an integrated environment for embedded system design: Part B: design and implementation.
Microprocess. Microsystems, 1999

Issues in the development of an integrated environment for embedded system design: Part A: user needs and commercial products.
Microprocess. Microsystems, 1999

Modeling architectures for VLSI Implementations of Fuzzy Logic Systems.
Inf. Sci., 1999

From a Fuzzy Flip-Flop to a MVL Flip-Flop.
Proceedings of the 29th IEEE International Symposium on Multiple-Valued Logic, 1999

1998
Predicting a Chaotic Time Series using Fuzzy Neural network.
Inf. Sci., 1998

The Implementation of Fuzzy Systems, Neural Networks and Fuzzy Neural Networks using FPGAs.
Inf. Sci., 1998

1997
Hardware Implementation of a Membership Function Generator for Fuzzy Reasoning.
Inf. Sci., 1997


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