Visual explanations from spiking neural networks using inter-spike intervals

Abstract By emulating biological features in brain, Spiking Neural Networks (SNNs) offer an energy-efficient alternative to conventional deep learning. To make SNNs ubiquitous, a ‘visual explanation’ technique for analysing and explaining the internal spike behavior of such temporal deep SNNs is cru...

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Autores principales: Youngeun Kim, Priyadarshini Panda
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/21c9d821aa6d46349f250d5a2ab3e691
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