Publications
Detailed Information
An RRAM-based Analog Neuron Design for the Weighted Spiking Neural network
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2019-10
- Publisher
- IEEE
- Citation
- 2019 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC), pp.259-260
- Abstract
- Spiking neural networks (SNNs) are promising because they have the ability to represent signal strength information with a simple sequence of spikes having the same height. In this paper, we propose an RRAM-based analog neuron circuit for the weighted spiking neural network which is energy-efficient and hardware-friendly. We have designed the neuron circuit to show that the weighted spiking neural network can be implemented in analog and works properly.
- ISSN
- 2163-9612
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.