Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158179
Title: Towards a computer that functions like the human brain
Authors: Lee, Seow Wei
Keywords: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Lee, S. W. (2022). Towards a computer that functions like the human brain. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158179
Project: A2015-211
Abstract: Brain-inspired computing architecture has gained many researchers’ attention because of its superiority in application for example pattern recognition and big data processing. The computational building blocks in the neuromorphic computing systems are logically comparable to neurons. Spiking neural network is the new model for arranging elements in a way that resembles the natural neural network in our biological brains. Spike-Timing-Dependent Plasticity and unsupervised learning in the network is researched in this report. This paper presents a study on how a neural network called convolutional neural network can be used in the simulation and also how fine-tuning of a neural network is useful.
URI: https://hdl.handle.net/10356/158179
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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