TOWARD A RUNTIME PROGRAMMABLE SPIKING NEURAL NETWORK HARDWARE ACCELERATOR WITH ON-CHIP LEARNING

TOWARD A RUNTIME PROGRAMMABLE SPIKING NEURAL NETWORK HARDWARE ACCELERATOR WITH ON-CHIP LEARNING

Ph.D

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Bibliographic Details
Main Author: NGUYEN NGOC NHU THAO
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2023
Subjects:
Spiking Neural Networks, Neuromorphic Computing, Synapse Pruning, Semi-Supervised Learning, On-Chip Learning, Reconfigurable Hardware Architecture
Online Access:https://scholarbank.nus.edu.sg/handle/10635/245506
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/245506

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