| 書(shū)目名稱(chēng) | Neuromorphic Solutions for Sensor Fusion and Continual Learning Systems |
| 副標(biāo)題 | Applications in Dron |
| 編輯 | Ali Safa,Lars Keuninckx,Francky Catthoor |
| 視頻video | http://file.papertrans.cn/665/664240/664240.mp4 |
| 概述 | Describes systematic design of SNN-STDP systems that significantly outperform prior works in terms of system accuracy.Presents the design of a first-of-its-kind SNN-STDP-based Simultaneous Localizatio |
| 圖書(shū)封面 |  |
| 描述 | .This book provides novel theoretical foundations and experimental demonstrations of Spiking Neural Networks (SNNs) in tasks such as radar gesture recognition for IoT devices and autonomous drone navigation using a fusion of retina-inspired event-based camera and radar sensing. The authors describe important new findings about the Spike-Timing-Dependent Plasticity (STDP) learning rule, which is widely believed to be one of the key learning mechanisms taking place in the brain. Readers will be enabled to create novel classes of edge AI and robotics applications, using highly energy- and area-efficient SNNs. |
| 出版日期 | Book 2024 |
| 關(guān)鍵詞 | Spiking Neural Network; Spike-Timing-Dependent Plasticity; Neuromorphic Computing; Simultaneous Localiz |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-63565-6 |
| isbn_softcover | 978-3-031-63567-0 |
| isbn_ebook | 978-3-031-63565-6 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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