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https://repositorio.uti.edu.ec//handle/123456789/3322| Título : | Towards efficient and adaptive cyber physical spiking neural integrated systems |
| Autor : | Madrena, Jordi Zapata, Mireya Fernández, Daniel Sánchez-Chiva, Josep María Valle, Juan Mata-Hernández, Diana Oltra, Josep Cosp-Vilella, Jordi Sato, Shigeo |
| Fecha de publicación : | 2020 |
| Editorial : | ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings. 23 November 2020. 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020. Glasgow. 23 November 2020 through 25 November 2020 |
| Resumen : | This work introduces multi-sensor integration combined with an efficient and adaptive Spiking Neural Network (SNN) emulation architecture for local intelligent processing. For this purpose, we propose CMOS-MEMS with on-chip conditioning electronics together with spike processing by means of a real-time bioinspired and model-programmable SIMD multiprocessor. System integration considerations and results in the MEMS and processor developments are provided. © 2020 IEEE. |
| URI : | https://ieeexplore.ieee.org/document/9294982 http://repositorio.uti.edu.ec//handle/123456789/3322 |
| Aparece en las colecciones: | Artículos Científicos Indexados |
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