Gregory Cohen

According to our database, Gregory Cohen authored at least 20 papers between 2013 and 2023.

Collaborative distances:

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

2023

Density Invariant Contrast Maximization for Neuromorphic Earth Observations.

Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Optimized Deep Spiking Neural Network Architecture Without Gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

IEEE Access, 2022

2021

An optimised deep spiking neural network architecture without gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

CoRR, 2021

2020

Event-Based Feature Extraction Using Adaptive Selection Thresholds.

Saeed Afshar, Nicholas Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen

Sensors, 2020

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, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen

CoRR, 2019

2018

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

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

EMNIST: an extension of MNIST to handwritten letters.

Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

CoRR, 2017

EMNIST: Extending MNIST to handwritten letters.

Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

An SRAM-based implementation of a convolutional neural network.

Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

2015

ELM solutions for event-based systems.

Jonathan Tapson, Gregory Cohen, André van Schaik

Neurocomputing, 2015

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades.

Garrick Orchard, Ajinkya Jayawant, Gregory Cohen, Nitish V. Thakor

CoRR, 2015

Automated detection of sleep apnea in infants: A multi-modal approach.

Gregory Cohen, Philip de Chazal

Comput. Biol. Medicine, 2015

2014

A Multi-modal Approach to Sleep-Wake Classification in Infants using Minimally Invasive Sensors.

Gregory Cohen, Philip de Chazal

Proceedings of the Computing in Cardiology, CinC 2014, 2014

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

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

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

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Automated detection of sleep apnea in infants using minimally invasive sensors.

Gregory Cohen, Philip de Chazal

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Detection of Sleep Apnoea in Infants using ECG and Oximetry Signals.

Gregory Cohen, Philip de Chazal

Proceedings of the Computing in Cardiology, 2013