On Training Spiking Neural Networks by Means of a Novel Quantum Inspired Machine Learning Method
ABSTRACT In spite of the high potential shown by spiking neural networks (e.g., temporal patterns), training them remains an open and complex problem. In practice, while in theory these networks are computationally as powerful as mainstream artificial neural networks, they have not reached the same...
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| Main Authors: | Jean Michel Sellier, Alexandre Martini |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-04-01
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| Series: | Applied AI Letters |
| Online Access: | https://doi.org/10.1002/ail2.114 |
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