Naresh Balaji Ravichandran

CoRR, 2024

Spiking representation learning for associative memories.

[BibT_eX]

[DOI]

CoRR, 2024

Benchmarking Hebbian learning rules for associative memory.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Spiking neural networks with Hebbian plasticity for unsupervised representation learning.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs.

[BibT_eX]

[DOI]

Stefano Markidis

Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021

Semi-supervised learning with Bayesian Confidence Propagation Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Learning representations in Bayesian Confidence Propagation neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Pedestrian simulation as multi-objective reinforcement learning.

[BibT_eX]

[DOI]

Fangkai Yang

Christopher E. Peters