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Neural Inspired Behaviors in Electronics
Neural Inspired Behaviors in Electronics
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211150957
- ISBN
- 9798382840697
- DDC
- 621.3
- 서명/저자
- Neural Inspired Behaviors in Electronics
- 발행사항
- [Sl] : Cornell University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 208 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-12, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Apsel, Alyssa.
- 학위논문주기
- Thesis (Ph.D.)--Cornell University, 2024.
- 초록/해제
- 요약This thesis presents groundbreaking contributions in the fields of intelligent neural interfaces and microscopic machines, specifically focusing on applications in medical implants and autonomous microscopic robots, utilizing CMOS electronic chips.In Chapter 2, an innovative ASIC accelerator is introduced, tailored for the efficient implementation of large decision tree prediction models, highlighting its unparalleled classification efficiency. Furthermore, we propose enhancements to further curtail redundancy during inference, showcasing the potential of CMOS technology to elevate scalability and adaptability in machine learning hardware.In Chapter 3, we present a novel method for achieving autonomous coordinated emergent behaviors in microscopic machines through pulse-coupling CMOS oscillators. A comprehensive analysis covers synchronization quality, scalability, and robustness, complemented by demonstrations of emergent behaviors in Matlab and realistic locomotion simulations in Unity.Chapter 4 concludes the thesis with reflections on the distinctive contributions and the wide horizon of potentials that these advancements unleash across diverse applications, ranging from transformative healthcare solutions to revolutionary advancements in intelligent and autonomous microscopic systems.
- 일반주제명
- Electrical engineering
- 일반주제명
- Robotics
- 일반주제명
- Health sciences
- 일반주제명
- Computer engineering
- 키워드
- Ultra-low power
- 기타저자
- Cornell University Electrical and Computer Engineering
- 기본자료저록
- Dissertations Abstracts International. 85-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520250211150957
■006m o d
■007cr#unu||||||||
■020 ▼a9798382840697
■035 ▼a(MiAaPQ)AAI30993704
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a621.3
■1001 ▼aTaghavi Nezam Abad, Milad.▼0(orcid)0000-0002-5512-0603
■24510▼aNeural Inspired Behaviors in Electronics
■260 ▼a[Sl]▼bCornell University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a208 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-12, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Apsel, Alyssa.
■5021 ▼aThesis (Ph.D.)--Cornell University, 2024.
■520 ▼aThis thesis presents groundbreaking contributions in the fields of intelligent neural interfaces and microscopic machines, specifically focusing on applications in medical implants and autonomous microscopic robots, utilizing CMOS electronic chips.In Chapter 2, an innovative ASIC accelerator is introduced, tailored for the efficient implementation of large decision tree prediction models, highlighting its unparalleled classification efficiency. Furthermore, we propose enhancements to further curtail redundancy during inference, showcasing the potential of CMOS technology to elevate scalability and adaptability in machine learning hardware.In Chapter 3, we present a novel method for achieving autonomous coordinated emergent behaviors in microscopic machines through pulse-coupling CMOS oscillators. A comprehensive analysis covers synchronization quality, scalability, and robustness, complemented by demonstrations of emergent behaviors in Matlab and realistic locomotion simulations in Unity.Chapter 4 concludes the thesis with reflections on the distinctive contributions and the wide horizon of potentials that these advancements unleash across diverse applications, ranging from transformative healthcare solutions to revolutionary advancements in intelligent and autonomous microscopic systems.
■590 ▼aSchool code: 0058.
■650 4▼aElectrical engineering
■650 4▼aRobotics
■650 4▼aHealth sciences
■650 4▼aComputer engineering
■653 ▼aIntelligent micromachines
■653 ▼aAutonomous microrobots
■653 ▼aIntelligent microrobots
■653 ▼aMachine learning hardware
■653 ▼aPulse-coupling synchronization
■653 ▼aUltra-low power
■653 ▼aAutomated micromachines
■690 ▼a0544
■690 ▼a0771
■690 ▼a0566
■690 ▼a0464
■71020▼aCornell University▼bElectrical and Computer Engineering.
■7730 ▼tDissertations Abstracts International▼g85-12B.
■790 ▼a0058
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17160326▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
