Name
Affiliation
Papers
LIAM MCDAID
Intelligent Systems Research Centre, University of Ulster, Derry, Northern Ireland,UK
66
Collaborators
Citations 
PageRank 
106
270
30.48
Referers 
Referees 
References 
544
1158
704
Search Limit
1001000
Title
Citations
PageRank
Year
Predicting Networks-on-Chip traffic congestion with Spiking Neural Networks00.342021
Mathematical modelling of human P2X-mediated plasma membrane electrophysiology and calcium dynamics in microglia00.342021
An memristor-based synapse implementation using BCM learning rule00.342021
Case Study-Spiking Neural Network Hardware System for Structural Health Monitoring.00.342020
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network.00.342019
Bio-inspired fault detection circuits based on synapse and spiking neuron models.10.352019
Fan-in analysis of a leaky integrator circuit using charge transfer synapses.00.342018
A computational study of astrocytic glutamate influence on post-synaptic neuronal excitability.10.412018
Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs00.342018
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture.40.382018
On-chip communication for neuro-glia networks.00.342018
Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective.80.452018
Forest fire detection using spiking neural networks10.362018
Potassium and sodium microdomains in thin astroglial processes: A computational model study.10.372018
ARDebug: An Augmented Reality Tool for Analysing and Debugging Swarm Robotic Systems.40.432018
Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks00.342017
Rapid application prototyping for hardware modular spiking neural network architectures.10.352017
An Extended Algorithm Using Adaptation of Momentum and Learning Rate for Spiking Neurons Emitting Multiple Spikes.20.402017
Layered tile architecture for efficient hardware spiking neural networks.00.342017
Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs00.342017
Scalable Networks-on-Chip Interconnected Architecture for Astrocyte-Neuron Networks.20.372016
Hierarchical Networks-On-Chip Interconnect For Astrocyte-Neuron Network Hardware00.342016
Case Study: Bio-Inspired Self-Adaptive Strategy For Spike-Based Pid Controller40.432015
An authentication strategy based on spatiotemporal chaos for software copyright protection10.372015
On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks90.472015
Biophysically based computational models of astrocyte ~ neuron coupling and their functional significance.20.362013
Modular Neural Tile Architecture for Compact Embedded Hardware Spiking Neural Network110.592013
A simple programmable axonal delay scheme for spiking neural networks.10.352013
Biologically Inspired SNN for Robot Control.130.602013
Fixed latency on-chip interconnect for hardware spiking neural network architectures.100.512013
Silicon-Based Dynamic Synapse With Depressing Response.70.572012
Self-repair in a Bidirectionally Coupled Astrocyte-Neuron (AN) System based on Retrograde Signaling.100.752012
Evaluating the generalisation capability of a CMOS based synapse30.492012
Advancing interconnect density for spiking neural network hardware implementations using traffic-aware adaptive network-on-chip routers.220.842012
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference.100.572012
Synchrony: A spiking-based mechanism for processing sensory stimuli.00.342012
Investigating Power Reduction for NoC-Based Spiking Neural Network Platforms using Channel Encoding.00.342012
Receptive field optimisation and supervision of a fuzzy spiking neural network.80.602011
Addressing the Hardware Resource Requirements of Network-on-chip based Neural Architectures.10.352011
On two-layer brain-inspired hierarchical topologies – a rent's rule approach –60.472011
Adaptive routing strategies for large scale spiking neural network hardware implementations40.442011
Hardware spiking neural network prototyping and application190.712011
Computing with biologically inspired neural oscillators: application to colour image segmentation00.342010
Application Of Biologically Inspired Neural Oscillators To Colour Image Segmentation00.342010
A spiking neural network model of the medial superior olive using spike timing dependent plasticity for sound localization100.632010
EMBRACE-SysC for analysis of NoC-based Spiking Neural Network architectures70.492010
Feature Extraction From Spectro-Temporal Signals Using Dynamic Synapses, Recurrency, And Lateral Inhibition30.482010
An efficient, high-throughput adaptive NoC router for large scale spiking neural network hardware implementations70.532010
A reconfigurable and biologically inspired paradigm for computation using network-on-chip and spiking neural networks271.102009
On Two-Layer Hierarchical Networks How Does the Brain Do This?00.342009
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