迈向高效和自适应的网络物理脉冲神经集成系统

J. Madrenas, Mireya Zapata, D. Fernández, J. M. Sánchez-Chiva, Juan Valle, Diana Mata-Hernandez, Josep Angel Oltra, Jordi Cosp-Vilella, S. Sato
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引用次数: 1

摘要

本文介绍了多传感器集成与高效、自适应的峰值神经网络(SNN)仿真体系结构相结合的局部智能处理方法。为此,我们提出了带有片上调节电子器件的CMOS-MEMS,以及通过实时生物启发和模型可编程SIMD多处理器进行尖峰处理。系统集成的考虑和结果在微机电系统和处理器的发展提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Efficient and Adaptive Cyber Physical Spiking Neural Integrated Systems
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.
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