Backpropagation-based learning techniques for deep spiking neural networks: A survey

M Dampfhoffer, T Mesquida… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …
被引用次数：23 相关文章

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey

M Dampfhoffer, T Mesquida, A Valentian… - IEEE transactions on … - pubmed.ncbi.nlm.nih.gov
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …

Backpropagation-based learning techniques for deep spiking neural networks: a survey

M Dampfhoffer, T Mesquida, A Valentian… - IEEE Transactions on …, 2023 - inria.hal.science
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …

Backpropagation-based learning techniques for deep spiking neural networks: a survey

M Dampfhoffer, T Mesquida, A Valentian… - IEEE Transactions on …, 2023 - cea.hal.science
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …

Backpropagation-based learning techniques for deep spiking neural networks: a survey

M Dampfhoffer, T Mesquida, A Valentian… - IEEE Transactions on …, 2023 - hal.science
With the adoption of smart systems, artificial neural networks (ANNs) have become
ubiquitous. Conventional ANN implementations have high energy consumption, limiting …
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[PDF][PDF] Backpropagation-based Learning Techniques for Deep Spiking Neural Networks: A survey

M Dampfhoffer, T Mesquida, A Valentian, L Anghel - hal.science
With the adoption of smart systems, Artificial Neural Networks (ANNs) have become
ubiquitous. Conventional ANN implementations have a high energy consumption, limiting …