Towards efficient and adaptive cyber physical spiking neural integrated systems


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.

Año de publicación:

2020

Keywords:

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

Fuente:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Red neuronal artificial
  • Algoritmo

Áreas temáticas:

  • Métodos informáticos especiales
  • Producción
  • Física aplicada