Building Theories of Neural Circuits with Machine Learning
Building Theories of Neural Circuits with Machine Learning
- Material Type
- 단행본
- 0016053542
- Date and Time of Latest Transaction
- 20220210093820
- ISBN
- 9798535510484
- DDC
- 616
- Author
- Bittner, Sean Robert.
- Title/Author
- Building Theories of Neural Circuits with Machine Learning
- Publish Info
- [Sl] : Columbia University, 2021
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Material Info
- 167 p
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
- General Note
- Advisor: Cunningham, John.
- 학위논문주기
- Thesis (Ph.D.)--Columbia University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Neurosciences
- Subject Added Entry-Topical Term
- Computer science
- Subject Added Entry-Topical Term
- Artificial intelligence
- Subject Added Entry-Topical Term
- Physiology
- Subject Added Entry-Topical Term
- Population
- Subject Added Entry-Topical Term
- Neurons
- Subject Added Entry-Topical Term
- Brain research
- Subject Added Entry-Topical Term
- Optimization
- Subject Added Entry-Topical Term
- Neural networks
- Subject Added Entry-Topical Term
- Insects
- Subject Added Entry-Topical Term
- Crustaceans
- Subject Added Entry-Topical Term
- Realism
- Subject Added Entry-Topical Term
- Motion detectors
- Index Term-Uncontrolled
- Machine learning
- Index Term-Uncontrolled
- Neural circuits
- Index Term-Uncontrolled
- Theoretical neuroscience
- Added Entry-Corporate Name
- Columbia University Neurobiology and Behavior
- Host Item Entry
- Dissertations Abstracts International. 83-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인 후 원문을 볼 수 있습니다.
- 소장사항
-
202202 2022
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