Abstract:
Bio-inspired computing architectures enable ultra-low power consumption and massive parallelism using neuromorphic computing, which is apt to implement Spiking Neural Net...Show MoreMetadata
Abstract:
Bio-inspired computing architectures enable ultra-low power consumption and massive parallelism using neuromorphic computing, which is apt to implement Spiking Neural Networks (SNN). Such architectures are particularly suitable for energy-constrained applications. A deeper understanding of Spiking Neural Networks (SNN) behavior during training is needed to improve these architectures. This paper presents VS2N, a web-based tool for interactive visualization and analysis of SNN activity over time. This simulator-independent tool offers a way to examine, analyze and validate different hypotheses about SNN activity. We present available analysis modules and use-cases of the tool as an example.
Date of Conference: 28-30 June 2021
Date Added to IEEE Xplore: 24 June 2021
ISBN Information:
ISSN Information:
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