Thomas Dalgaty
Orcid: 0000-0003-0326-2121
According to our database1,
Thomas Dalgaty
authored at least 19 papers
between 2018 and 2023.
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Bibliography
2023
End-to-End Implementation of a Convolutional Neural Network on a 3D-Integrated Image Sensor with Macropixel Array.
Sensors, February, 2023
The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023
2022
Hardware calibrated learning to compensate heterogeneity in analog RRAM-based Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory-Based Inference Hardware.
Adv. Intell. Syst., 2021
PCM-Trace: Scalable Synaptic Eligibility Traces with Resistivity Drift of Phase-Change Materials.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Proceedings of the International Conference on IC Design and Technology, 2021
2020
In-situ learning harnessing intrinsic resistive memory variability through Markov Chain Monte Carlo Sampling.
CoRR, 2020
Analog Weight Updates with Compliance Current Modulation of Binary ReRAMs for On-Chip Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the 15th Design & Technology of Integrated Systems in Nanoscale Era, 2020
2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2018
Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems - 7th International Conference, 2018
Role of synaptic variability in spike-based neuromorphic circuits with unsupervised learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) as Artificial Synapses in Spiking Neural Networks.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018
Processing EMG signals using reservoir computing on an event-based neuromorphic system.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018