Towards a computer that functions like the human brain
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/158179 |
| _version_ | 1824453710246313984 |
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| author | Lee, Seow Wei |
| author2 | Ang Diing Shenp |
| author_facet | Ang Diing Shenp Lee, Seow Wei |
| author_sort | Lee, Seow Wei |
| collection | NTU |
| description | 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. |
| first_indexed | 2025-02-19T03:10:44Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/158179 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:10:44Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1581792023-07-07T19:28:44Z Towards a computer that functions like the human brain Lee, Seow Wei Ang Diing Shenp School of Electrical and Electronic Engineering EDSAng@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Pattern recognition 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. Bachelor of Engineering (Information Engineering and Media) 2022-05-31T12:44:54Z 2022-05-31T12:44:54Z 2022 Final Year Project (FYP) 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 https://hdl.handle.net/10356/158179 en A2015-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Lee, Seow Wei Towards a computer that functions like the human brain |
| title | Towards a computer that functions like the human brain |
| title_full | Towards a computer that functions like the human brain |
| title_fullStr | Towards a computer that functions like the human brain |
| title_full_unstemmed | Towards a computer that functions like the human brain |
| title_short | Towards a computer that functions like the human brain |
| title_sort | towards a computer that functions like the human brain |
| topic | Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
| url | https://hdl.handle.net/10356/158179 |
| work_keys_str_mv | AT leeseowwei towardsacomputerthatfunctionslikethehumanbrain |