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)

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)

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)