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:


Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Red neuronal artificial
- Algoritmo
Áreas temáticas:
- Métodos informáticos especiales
- Producción
- Física aplicada