학술논문

Purely Spintronic Leaky Integrate-and-Fire Neurons
Document Type
Conference
Source
2022 IEEE International Symposium on Circuits and Systems (ISCAS) Circuits and Systems (ISCAS), 2022 IEEE International Symposium on. :1189-1193 May, 2022
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Fabrication
Power demand
Neuromorphic engineering
Neurons
Machine learning
Nanoscale devices
Synapses
Artificial neural network
Neuromorphic computing
Leaky integrate-and-fire neuron
Language
ISSN
2158-1525
Abstract
Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of emerging nanodevices. In particular, exceptional opportunities are provided by the non-volatility and analog capabilities of spintronic devices. While spintronic devices that emulate neurons have been previously proposed, they require complementary metal-oxide semiconductor (CMOS) technology to function. In turn, this significantly increases the power consumption, fabrication complexity, and device area of a single neuron. This work reviews three previously proposed CMOS-free spintronic neurons designed to resolve this issue.