Detection of Sleep Apnoea in Infants using ECG and Oximetry Signals. - Gregory Cohen; Philip de Chazal (CinC, 2013)

Automated detection of sleep apnea in infants using minimally invasive sensors. - Gregory Cohen; Philip de Chazal (EMBC, 2013)

An improved aVLSI axon with programmable delay using spike timing dependent delay plasticity. - Runchun Wang; Gregory Cohen; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (ISCAS, 2013)

The Ripple Pond: Enabling Spiking Networks to See. - Saeed Afshar; Gregory Cohen; Runchun Wang; André van Schaik; Jonathan Tapson; Torsten Lehmann; Tara Julia Hamilton (CoRR, 2013)

Synthesis of neural networks for spatio-temporal spike pattern recognition and processing - Jonathan Tapson; Gregory Cohen; Saeed Afshar; Klaus M. Stiefel; Y. Buskila; Runchun Wang; Tara Julia Hamilton; André van Schaik (CoRR, 2013)

A Multi-modal Approach to Sleep-Wake Classification in Infants using Minimally Invasive Sensors. - Gregory Cohen; Philip de Chazal (CinC, 2014)

Automated detection of sleep apnea in infants: A multi-modal approach. - Gregory Cohen; Philip de Chazal (Comput. Biol. Medicine, 2015)

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades. - Garrick Orchard; Ajinkya Jayawant; Gregory Cohen; Nitish V. Thakor (CoRR, 2015)

ELM solutions for event-based systems. - Jonathan Tapson; Gregory Cohen; André van Schaik (Neurocomputing, 2015)

An SRAM-based implementation of a convolutional neural network. - Runchun Wang; Gregory Cohen; Chetan Singh Thakur; Jonathan Tapson; André van Schaik (BioCAS, 2016)

EMNIST: Extending MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (IJCNN, 2017)

EMNIST: an extension of MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (CoRR, 2017)

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition. - Runchun Wang; Chetan Singh Thakur; Gregory Cohen; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (IEEE Trans. Biomed. Circuits Syst., 2017)

Spatial and Temporal Downsampling in Event-Based Visual Classification. - Gregory Cohen; Saeed Afshar; Garrick Orchard; Jonathan Tapson; Ryad Benosman; André van Schaik (IEEE Trans. Neural Networks Learn. Syst., 2018)

Event-based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (CoRR, 2019)

Event-based Object Detection and Tracking for Space Situational Awareness. - Saeed Afshar; Andrew P. Nicholson; André van Schaik; Gregory Cohen (CoRR, 2019)

Event-Based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Nicholas Owen Ralph; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (Sensors, 2020)

An optimised deep spiking neural network architecture without gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (CoRR, 2021)

An Optimized Deep Spiking Neural Network Architecture Without Gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (IEEE Access, 2022)

Density Invariant Contrast Maximization for Neuromorphic Earth Observations. - Sami Arja; Alexandre Marcireau; Richard L. Balthazor; Matthew G. McHarg; Saeed Afshar; Gregory Cohen (CVPR Workshops, 2023)

Unsupervised Motion Segmentation for Neuromorphic Aerial Surveillance. - Sami Arja; Alexandre Marcireau; Saeed Afshar; Bharath Ramesh 001; Gregory Cohen (CoRR, 2024)

Noise Filtering Benchmark for Neuromorphic Satellites Observations. - Sami Arja; Alexandre Marcireau; Nicholas Owen Ralph; Saeed Afshar; Gregory Cohen (CoRR, 2024)

Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera. - Sami Arja; Nimrod Kruger; Alexandre Marcireau; Nicholas Owen Ralph; Saeed Afshar; Gregory Cohen (CVPR Workshops, 2025)