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020 ▼a 9780438018075
035 ▼a (MiAaPQ)AAI10792166
035 ▼a (MiAaPQ)purdue:22531
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 621.3
1001 ▼a Wen, Haiguang.
24510 ▼a Neural Encoding and Decoding with Deep Learning for Natural Vision.
260 ▼a [S.l.] : ▼b Purdue University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 161 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Zhongming Liu.
5021 ▼a Thesis (Ph.D.)--Purdue University, 2018.
520 ▼a The overarching objective of this work is to bridge neuroscience and artificial intelligence to ultimately build machines that learn, act, and think like humans. In the context of vision, the brain enables humans to readily make sense of the vis
590 ▼a School code: 0183.
650 4 ▼a Electrical engineering.
650 4 ▼a Computer science.
650 4 ▼a Biomedical engineering.
690 ▼a 0544
690 ▼a 0984
690 ▼a 0541
71020 ▼a Purdue University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0183
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997679 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자