Real-time event-driven spiking neural network object recognition on the SpiNNaker platform-Reference-Cited by-同舟云学术

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Real-time event-driven spiking neural network object recognition on the SpiNNaker platform

Published:2015-05 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Orchard Garrick,Lagorce Xavier,Posch Christoph,Furber Steve B.,Benosman Ryad,Galluppi Francesco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7152138/7168553/07169171.pdf?arnumber=7169171

Cited by 18 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. An Event-Based Tracking Control Framework for Multirotor Aerial Vehicles Using a Dynamic Vision Sensor and Neuromorphic Hardware;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

2. Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots;Science Robotics;2022-06-15

3. Current Research and Future Prospects of Neuromorphic Computing in Artificial Intelligence;IOP Conference Series: Materials Science and Engineering;2020-08-01

4. Neuromorphic Robotic Platform with Visual Input, Processor and Actuator, Based on Spiking Neural Networks;Applied System Innovation;2020-06-24

5. Sepia, Tarsier, and Chameleon: A Modular C++ Framework for Event-Based Computer Vision;Frontiers in Neuroscience;2020-01-08

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