DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Choi, Yang-Kyu | - |
dc.contributor.advisor | 최양규 | - |
dc.contributor.author | Chung, Young-Woo | - |
dc.date.accessioned | 2023-06-26T19:31:07Z | - |
dc.date.available | 2023-06-26T19:31:07Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1032933&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309472 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2023.2,[ii, 38 p. :] | - |
dc.description.abstract | The usage of a vertical nanowire Si MOSFET to create a thermally stable single-transistor neuron is demonstrated. Recently, many devices are being studied to mimic the neural firing of biological neurons. Among them, when using a MOSFET, a single transistor latch (STL) is mainly used to mimic neural firing. However, the concept of STL is sensitive to temperature (T) because it is generally occurred by impact ionization (I.I.). And, it is not suitable for a stable neuromorphic system. As an alternative to the thermally sensitive I.I., thermally insensitive band-to-band tunneling (BTBT) is used to enable the STL to function. By using BTBT, STL with thermal stability can be achieved. Spiking neural network (SNN) simulations have shown that the ability to recognize handwritten numbers in the MNIST dataset was not T-sensitive. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Neuromorphic computing system▼aSingle-transistor latch (STL)▼aSingle-transistor neuron (1T-neuron)▼aSpiking neural network (SNN)▼aThermal stability | - |
dc.subject | 단일 트랜지스터 뉴런▼a단일 트랜지스터 래치▼a스파이킹 뉴럴 네트워크▼a열적안정성 | - |
dc.title | (A) study of thermally stable single transistor latch for neuromorphic application | - |
dc.title.alternative | 뉴로모픽 응용을 위한 열적으로 안정된 단일 트랜지스터 래치 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 정영우 | - |
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