Gregory Cohen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Visual Classification

Feature Extraction

Top Venues

IEEE Trans. Biomed. Circuits Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Sami Arja, Alexandre Marcireau, Saeed Afshar, Bharath Ramesh, Gregory Cohen
Unsupervised Motion Segmentation for Neuromorphic Aerial Surveillance. CoRR (2024)
Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen
Density Invariant Contrast Maximization for Neuromorphic Earth Observations. CoRR (2023)
Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen
Density Invariant Contrast Maximization for Neuromorphic Earth Observations. CVPR Workshops (2023)
Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar
An Optimized Deep Spiking Neural Network Architecture Without Gradients. IEEE Access 10 (2022)
Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar
An optimised deep spiking neural network architecture without gradients. CoRR (2021)
Saeed Afshar, Nicholas Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
Event-Based Feature Extraction Using Adaptive Selection Thresholds. Sensors 20 (6) (2020)
Saeed Afshar, Andrew P. Nicholson, André van Schaik, Gregory Cohen
Event-based Object Detection and Tracking for Space Situational Awareness. CoRR (2019)
Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
Event-based Feature Extraction Using Adaptive Selection Thresholds. CoRR (2019)
Gregory Cohen, Saeed Afshar, Garrick Orchard, Jonathan Tapson, Ryad Benosman, André van Schaik
Spatial and Temporal Downsampling in Event-Based Visual Classification. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik
EMNIST: an extension of MNIST to handwritten letters. CoRR (2017)
Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition. IEEE Trans. Biomed. Circuits Syst. 11 (3) (2017)
Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik
EMNIST: Extending MNIST to handwritten letters. IJCNN (2017)
Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik
An SRAM-based implementation of a convolutional neural network. BioCAS (2016)
Garrick Orchard, Ajinkya Jayawant, Gregory Cohen, Nitish V. Thakor
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades. CoRR (2015)
Jonathan Tapson, Gregory Cohen, André van Schaik
ELM solutions for event-based systems. Neurocomputing 149 (2015)
Gregory Cohen, Philip de Chazal
Automated detection of sleep apnea in infants: A multi-modal approach. Comput. Biol. Medicine 63 (2015)
Gregory Cohen, Philip de Chazal
A Multi-modal Approach to Sleep-Wake Classification in Infants using Minimally Invasive Sensors. CinC (2014)
Runchun Wang, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik
An improved aVLSI axon with programmable delay using spike timing dependent delay plasticity. ISCAS (2013)
Jonathan Tapson, Gregory Cohen, Saeed Afshar, Klaus M. Stiefel, Y. Buskila, Runchun Wang, Tara Julia Hamilton, André van Schaik
Synthesis of neural networks for spatio-temporal spike pattern recognition and processing CoRR (2013)
Gregory Cohen, Philip de Chazal
Automated detection of sleep apnea in infants using minimally invasive sensors. EMBC (2013)
Gregory Cohen, Philip de Chazal
Detection of Sleep Apnoea in Infants using ECG and Oximetry Signals. CinC (2013)
Saeed Afshar, Gregory Cohen, Runchun Wang, André van Schaik, Jonathan Tapson, Torsten Lehmann, Tara Julia Hamilton
The Ripple Pond: Enabling Spiking Networks to See. CoRR (2013)