Timoleon Moraitis

Orcid: 0000-0002-6521-0717

According to our database1, Timoleon Moraitis authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Single Neuromorphic Memristor closely Emulates Multiple Synaptic Mechanisms for Energy Efficient Neural Networks.
CoRR, 2024

2023
Hebbian Deep Learning Without Feedback.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks.
Neuromorph. Comput. Eng., December, 2022

Self-Supervised Learning Through Efference Copies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Short-Term Plasticity Neurons Learning to Learn and Forget.
Proceedings of the International Conference on Machine Learning, 2022

Spike-inspired rank coding for fast and accurate recurrent neural networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks.
CoRR, 2021

Chalcogenide optomemristors for multi-factor neuromorphic computation.
CoRR, 2021

2020
Short-term synaptic plasticity optimally models continuous environments.
CoRR, 2020

File Classification Based on Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2018
Spiking Neural Networks Enable Two-Dimensional Neurons and Unsupervised Multi-Timescale Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Neuromorphic computing with multi-memristive synapses.
CoRR, 2017

An efficient synaptic architecture for artificial neural networks.
Proceedings of the 17th Non-Volatile Memory Technology Symposium, 2017

Fatiguing STDP: Learning from spike-timing codes in the presence of rate codes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

On-chip unsupervised learning in winner-take-all networks of spiking neurons.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017


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