Spiking Neural Network Based on Threshold Encoding For Texture Recognition
Author:
Affiliation:
1. University of Genoa,Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture DITEN,Genova,Italy
Funder
RIA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9970762/9970770/09971099.pdf?arnumber=9971099
Reference18 articles.
1. A Spiking Neural Network With Spike-Timing-Dependent Plasticity for Surface Roughness Analysis
2. Object shape recognition using tactile sensor arrays by a spiking neural network with unsupervised learning
3. Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
4. Texture Discrimination with a Soft Biomimetic Finger Using a Flexible Neuromorphic Tactile Sensor Array That Provides Sensory Feedback
5. Supervised Autoencoder Joint Learning on Heterogeneous Tactile Sensory Data: Improving Material Classification Performance
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Towards Chip-in-the-loop Spiking Neural Network Training via Metropolis-Hastings Sampling;2024 Neuro Inspired Computational Elements Conference (NICE);2024-04-23
2. Assessment of Recurrent Spiking Neural Networks on Neuromorphic Accelerators for Naturalistic Texture Classification;2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME);2023-06-18
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