Towards efficient and adaptive cyber physical spiking neural integrated systems

Jordi Madrenas, Mireya Zapata, Daniel Fernandez, Josep Maria Sanchez-Chiva, Juan Valle, Diana Mata-Hernandez, Josep Angel Oltra, Jordi Cosp-Vilella, Shigeo Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728160443
DOIs
Publication statusPublished - 2020 Nov 23
Event27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 - Glasgow, United Kingdom
Duration: 2020 Nov 232020 Nov 25

Publication series

NameICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings

Conference

Conference27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020
CountryUnited Kingdom
CityGlasgow
Period20/11/2320/11/25

Keywords

  • CMOS-MEMS
  • Cyber Physical Neural Systems
  • Integrated Sensors
  • Integration
  • MEMS
  • SNN
  • Sensor Neural Computing
  • Spiking Neural Networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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