Jim Harkin
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View article: Anomaly detection with spiking neural networks for LHC physics
Anomaly detection with spiking neural networks for LHC physics Open
Anomaly detection offers a promising strategy for discovering new physics at the Large Hadron Collider (LHC). This paper investigates AutoEncoders built using neuromorphic Spiking Neural Networks (SNNs) for this purpose. One key applicatio…
View article: Smart Watchdog for RISC-V: A Novel Spiking Neural Network Approach to Fault Detection
Smart Watchdog for RISC-V: A Novel Spiking Neural Network Approach to Fault Detection Open
Watchdog mechanisms must detect permanent and transient faults with minimal power and area overheads, but their own reliability is vital, as failures can jeopardize system integrity. This paper introduces a novel smart watchdog paradigm ba…
View article: Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V
Live Demonstration: Smart Watchdog Mechanism for Real-time Fault Detection in RISC-V Open
This live demonstration relates to our paper titled "Smart Watchdog Mechanism for Fault Detection in RISC-V" also published at ISCAS 2025. Spiking neural networks (SNNs) can realise low power and area implementations compared to traditiona…
View article: Smart Watchdog Mechanism for Fault Detection in RISC-V
Smart Watchdog Mechanism for Fault Detection in RISC-V Open
Modern micro-processors face reliability challenges due to manufacturing defects, aging or when operating in harsh environments like deep-sea or space. Watchdog mechanisms are essential for detecting both permanent and transient faults, bu…
View article: A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning
A Novel Pipeline for Adrenal Gland Segmentation: Integration of a Hybrid Post-Processing Technique with Deep Learning Open
Accurate segmentation of adrenal glands from CT images is essential for enhancing computer-aided diagnosis and surgical planning. However, the small size, irregular shape, and proximity to surrounding tissues make this task highly challeng…
View article: Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
Artificial Neural Microcircuits as Building Blocks: Concept and Challenges Open
Artificial Neural Networks (ANNs) are one of the most widely employed forms of bio-inspired computation. However the current trend is for ANNs to be structurally homogeneous. Furthermore, this structural homogeneity requires the applicatio…
View article: LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading
LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading Open
This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set of Address-Event-Representation sensors and tools. The target application is the lip reading of several keywords for diff…
View article: Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies
Feature Extraction Methods for Neural Networks in the Classification of Structural Health Anomalies Open
Failure of large complex structures such as buildings and bridges can have monumental repercussions such as human mortality, environmental destruction and economic consequences. It is therefore paramount that detection of structural damage…
View article: Artificial Neural Microcircuits for use in Neuromorphic System Design
Artificial Neural Microcircuits for use in Neuromorphic System Design Open
Artificial Neural Networks (ANNs) are one of the most widely employed forms of biomorphic computation.However (unlike the biological nervous systems they draw inspiration from) the current trend is for ANNs to be structurally homogeneous.F…
View article: The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses.
The influence of astrocytic leaflet motility on ionic signalling and homeostasis at active synapses. Open
Astrocytes display a highly complex, spongiform morphology, with their fine terminal processes (leaflets) exercising dynamic degrees of synaptic coverage, from touching and surrounding the synapse to being retracted from the synaptic regio…
View article: Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors
Image-based computer modeling assessment of microwave ablation for treatment of adrenal tumors Open
To assess the feasibility of delivering microwave ablation for targeted treatment of aldosterone producing adenomas using image-based computational models. We curated an anonymized dataset of diagnostic 11C-metomidate PET/CT images of 14 p…
View article: Autonomous Wireless Sensor System Design for Structural Health Monitoring Application
Autonomous Wireless Sensor System Design for Structural Health Monitoring Application Open
Infrastructures such as roads, railway tracks, buildings, bridges and tunnels etc. suffer from degradation over a period of time. Phenomena such as ageing, hazards and natural disasters significantly affect the structure’s sustainability. …
View article: Autonomous Wireless Sensor System Design for Structural Health Monitoring Application
Autonomous Wireless Sensor System Design for Structural Health Monitoring Application Open
Infrastructures such as roads, railway tracks, buildings, bridges and tunnels etc. suffer from degradation over a period of time. Phenomena such as ageing, hazards and natural disasters significantly affect the structure’s sustainability. …
View article: Autonomous Wireless Sensor System Design for Structural Health Monitoring Application
Autonomous Wireless Sensor System Design for Structural Health Monitoring Application Open
Infrastructures such as roads, railway tracks, buildings, bridges and tunnels etc. suffer from degradation over a period of time. Phenomena such as ageing, hazards and natural disasters significantly affect the structure’s sustainability. …
View article: Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage.
Immuno-informatics analysis predicts B and T cell consensus epitopes for designing peptide vaccine against SARS-CoV-2 with 99.82% global population coverage. Open
The current global pandemic due to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has taken a substantial number of lives across the world. Although few vaccines have been rolled-out, a number of vaccine candidates are still …
View article: Spiking Neural Network-based Structural Health Monitoring Hardware System
Spiking Neural Network-based Structural Health Monitoring Hardware System Open
Structural Health Monitoring (SHM) systems estimate damages that affect structural reliability. Modern SHM requires continuous monitoring to detect damage caused by day-to-day loading and usage. SHM analyzes structural integrity and identi…
View article: A Computational Study of Astrocytic GABA Release at the Glutamatergic Synapse: EAAT-2 and GAT-3 Coupled Dynamics
A Computational Study of Astrocytic GABA Release at the Glutamatergic Synapse: EAAT-2 and GAT-3 Coupled Dynamics Open
Neurotransmitter dynamics within neuronal synapses can be controlled by astrocytes and reflect key contributors to neuronal activity. In particular, Glutamate (Glu) released by activated neurons is predominantly removed from the synaptic s…
View article: Hardware acceleration of genomics data analysis: challenges and opportunities
Hardware acceleration of genomics data analysis: challenges and opportunities Open
Summary The significant decline in the cost of genome sequencing has dramatically changed the typical bioinformatics pipeline for analysing sequencing data. Where traditionally, the computational challenge of sequencing is now secondary to…
View article: Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring
Case Study—Spiking Neural Network Hardware System for Structural Health Monitoring Open
This case study provides feasibility analysis of adapting Spiking Neural Networks (SNN) based Structural Health Monitoring (SHM) system to explore low-cost solution for inspection of structural health of damaged buildings which survived af…
View article: Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft
Computational Study of Astroglial Calcium Homeostasis in a Semi-isolated Synaptic Cleft Open
Astrocytes can affect neuronal communication by controlling extracellular ionic concentration levels. In the hippocampus, astrocytes have an intimate relationship with neuronal synapses, enwrapping the synapse tightly to prevent chemical d…
View article: AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks
AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks Open
Spiking astrocyte neural networks (SANN) are a new computational paradigm that exhibit enhanced self-adapting and reliability properties. The inclusion of astrocyte behaviour increases the computational load and critically the number of co…
View article: GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model
GABA Regulation of Burst Firing in Hippocampal Astrocyte Neural Circuit: A Biophysical Model Open
It is now widely accepted that glia cells and gamma-aminobutyric acidergic (GABA) interneurons dynamically regulate synaptic transmission and neuronal activity in time and space. This paper presents a biophysical model that captures the in…
View article: Calcium Microdomain Formation at the Perisynaptic Cradle Due to NCX Reversal: A Computational Study
Calcium Microdomain Formation at the Perisynaptic Cradle Due to NCX Reversal: A Computational Study Open
It has recently been proposed using a multi-compartmental mathematical model that negatively fixed charged membrane-associated sites constrain the flow of cations in perisynaptic astroglial processes. This restricted movement of ions betwe…