Paul Kirkland

According to our database, Paul Kirkland authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

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., August, 2024

VCSEL-based photonic spiking neural networks for ultrafast detection and tracking.

Joshua Robertson, Paul Kirkland, Gaetano Di Caterina, Antonio Hurtado

Neuromorph. Comput. Eng., March, 2024

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

Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023

Neuromorphic Sensing and Processing for Space Domain Awareness.

Paul Kirkland, Carmine Clemente, Malcolm Macdonald, Gaetano Di Caterina, Gabriele Meoni

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the Engineering Applications of Neural Networks, 2023

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., December, 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., December, 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

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

2021

Unsupervised Spiking Instance Segmentation on Event Data using STDP.

Paul Kirkland, Davide L. Manna, Alex Vicente-Sola, Gaetano Di Caterina

CoRR, 2021

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

2020

Less is more: the neuromorphic engineering advantage

Paul Kirkland

PhD thesis, 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

SpikeSEG: Spiking Segmentation via STDP Saliency Mapping.

Paul Kirkland, Gaetano Di Caterina, John J. Soraghan, George Matich

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018