Real-Time Embedded Intelligence System: Emotion Recognition on Raspberry Pi with Intel NCS. - Yannan Xing; Paul Kirkland; Gaetano Di Caterina; John J. Soraghan; George Matich (ICANN (1), 2018)

UAV Detection: A STDP Trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach. - Paul Kirkland; Gaetano Di Caterina; John J. Soraghan; Yiannis Andreopoulos; George Matich (ICANN (1), 2019)

CubeSat-Based Passive Bistatic Radar for Space Situational Awareness: A Feasibility Study. - Adriano Rosario Persico; Paul Kirkland; Carmine Clemente; John J. Soraghan; Massimiliano Vasile (IEEE Trans. Aerosp. Electron. Syst., 2019)

SpikeSEG: Spiking Segmentation via STDP Saliency Mapping. - Paul Kirkland; Gaetano Di Caterina; John J. Soraghan; George Matich (IJCNN, 2020)

Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation. - Paul Kirkland; Gaetano Di Caterina; John J. Soraghan; George Matich (Frontiers Neurorobotics, 2020)

Less is more: the neuromorphic engineering advantage - Paul Kirkland (2020)

Ultrafast Neuromorphic Photonic Image Processing with a VCSEL Neuron. - Joshua Robertson; Paul Kirkland; Juan Arturo Alanis; Matej Hejda; Julián Bueno; Gaetano Di Caterina; Antonio Hurtado (CoRR, 2021)

Unsupervised Spiking Instance Segmentation on Event Data using STDP. - Paul Kirkland; Davide L. Manna; Alex Vicente-Sola; Gaetano Di Caterina (CoRR, 2021)

Evaluating the temporal understanding of neural networks on event-based action recognition with DVS-Gesture-Chain. - Alex Vicente-Sola; Davide L. Manna; Paul Kirkland; Gaetano Di Caterina; Trevor J. Bihl (CoRR, 2022)

Unsupervised Spiking Instance Segmentation on Event Data Using STDP Features. - Paul Kirkland; Davide L. Manna; Alex Vicente-Sola; Gaetano Di Caterina (IEEE Trans. Computers, 2022)

Simple and complex spiking neurons: perspectives and analysis in a simple STDP scenario. - Davide L. Manna; Alex Vicente-Sola; Paul Kirkland; Trevor J. Bihl; Gaetano Di Caterina (Neuromorph. Comput. Eng., 2022)

Keys to accurate feature extraction using residual spiking neural networks. - Alex Vicente-Sola; Davide L. Manna; Paul Kirkland; Gaetano Di Caterina; Trevor Bihl (Neuromorph. Comput. Eng., 2022)

Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. - Davide L. Manna; Alex Vicente-Sola; Paul Kirkland; Trevor J. Bihl; Gaetano Di Caterina (EANN, 2023)

Sign Language Recognition using Spiking Neural Networks. - Pranav Chaudhari; Alex Vicente-Sola; Amlan Basu; Davide L. Manna; Paul Kirkland; Gaetano Di Caterina (ICMLDE, 2023)

Neuromorphic Sensing and Processing for Space Domain Awareness. - Paul Kirkland; Carmine Clemente; Malcolm Macdonald; Gaetano Di Caterina; Gabriele Meoni (IGARSS, 2023)

Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. - Trevor Bihl; Patrick Farr; Gaetano Di Caterina; Alex Vicente-Sola; Davide L. Manna; Paul Kirkland; Jundong Liu; Kara Combs (HICSS, 2024)

VCSEL-based photonic spiking neural networks for ultrafast detection and tracking. - Joshua Robertson; Paul Kirkland; Gaetano Di Caterina; Antonio Hurtado (Neuromorph. Comput. Eng., 2024)

Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks. - Davide Liberato Manna; Alex Vicente-Sola; Paul Kirkland; Trevor Joseph Bihl; Gaetano Di Caterina (Comput., 2024)

Spiking Neural Networks for event-based action recognition: A new task to understand their advantage. - Alex Vicente-Sola; Davide L. Manna; Paul Kirkland; Gaetano Di Caterina; Trevor J. Bihl (Neurocomputing, 2025)