TOWARD A RUNTIME PROGRAMMABLE SPIKING NEURAL NETWORK HARDWARE ACCELERATOR WITH ON-CHIP LEARNING
Ph.D
Saved in:
Main Author: | NGUYEN NGOC NHU THAO |
---|---|
Other Authors: | ELECTRICAL & COMPUTER ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/245506 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
An FPGA-Based Co-Processor for Spiking Neural Networks with On-Chip STDP-Based Learning
by: Nguyen, Thao NN, et al.
Published: (2023) -
Editorial: Spiking Neural Network Learning, Benchmarking, Programming and Executing
by: Li, G., et al.
Published: (2021) -
A neuromorphic-hardware oriented bio-plausible online-learning spiking neural network model
by: Qiao, G. C., et al.
Published: (2019) -
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
by: Wu, J., et al.
Published: (2021) -
AUDITORY INFORMATION PROCESSING USING SPIKING NEURAL NETWORKS
by: WU JIBIN
Published: (2021)