Towards a computer that functions like the human brain

• Main Author: Lee, Seow Wei
• Other Authors: Ang Diing Shenp
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• Online Access: https://hdl.handle.net/10356/158179
• Institution: Nanyang Technological University

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.