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:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Interactive Visualization ,
- Spiking Neural Networks ,
- Interactive Visualization Tool ,
- Web-based Tool ,
- Analysis Module ,
- Network Behavior ,
- Understanding Of Networks ,
- Neuromorphic Computing ,
- Visualization Of Activity ,
- Heatmap ,
- Convolutional Neural Network ,
- Deep Neural Network ,
- Data Storage ,
- Network Activity ,
- Recurrent Neural Network ,
- Network Performance ,
- Multimedia ,
- Neural Network Classifier ,
- 3D Visualization ,
- Apache Spark ,
- Synaptic Weights ,
- MNIST Dataset ,
- Spike Frequency ,
- Modulation Of Components ,
- End Of Training ,
- Synapse Weights ,
- Handwritten Digits ,
- Accuracy Of Network ,
- Neuromorphic Hardware
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Neural Network ,
- Interactive Visualization ,
- Spiking Neural Networks ,
- Interactive Visualization Tool ,
- Web-based Tool ,
- Analysis Module ,
- Network Behavior ,
- Understanding Of Networks ,
- Neuromorphic Computing ,
- Visualization Of Activity ,
- Heatmap ,
- Convolutional Neural Network ,
- Deep Neural Network ,
- Data Storage ,
- Network Activity ,
- Recurrent Neural Network ,
- Network Performance ,
- Multimedia ,
- Neural Network Classifier ,
- 3D Visualization ,
- Apache Spark ,
- Synaptic Weights ,
- MNIST Dataset ,
- Spike Frequency ,
- Modulation Of Components ,
- End Of Training ,
- Synapse Weights ,
- Handwritten Digits ,
- Accuracy Of Network ,
- Neuromorphic Hardware
- Author Keywords
