基本信息
views: 485
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
DiCarlo’s research goal is to reverse engineer the brain mechanisms that underlie human visual intelligence. He and his collaborators have revealed how population image transformations carried out by a deep stack of interconnected neocortical brain areas — called the primate ventral visual stream — are effortlessly able to extract object identity from visual images. His team uses a combination of large-scale neurophysiology, brain imaging, direct neural perturbation methods, and machine learning methods to build and test neurally-mechanistic computational models of the ventral visual stream and its support of cognition and behavior. Such an engineering-based understanding is likely to lead to new artificial vision and artificial intelligence approaches, new brain-machine interfaces to restore or augment lost senses, and a new foundation to ameliorate disorders of the mind.
Research Interests
Papers共 201 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
biorxiv(2024)
James J. DiCarlo,Daniel L. K. Yamins, Michael E. Ferguson,Evelina Fedorenko,Matthias Bethge,Tyler Bonnen,Martin Schrimpf
BEHAVIORAL AND BRAIN SCIENCES (2024): e390-e390
Benjamin Peters,James J DiCarlo, Todd Gureckis,Ralf Haefner,Leyla Isik,Joshua Tenenbaum,Talia Konkle,Thomas Naselaris,Kimberly Stachenfeld, Zenna Tavares,Doris Tsao,Ilker Yildirim,
ArXiv (2024)
Cited0Views0WOSEIBibtex
0
0
Michael Kuoch, Chi-Ning Chou,Nikhil Parthasarathy,Joel Dapello,James J. DiCarlo,Haim Sompolinsky,SueYeon Chung
CoRR (2023)
Cited0Views0EIBibtex
0
0
Michael J. Lee,James J. DiCarlo
crossref(2023)
Journal of Visionno. 9 (2023): 5788-5788
Nature communicationsno. 1 (2023): 1-7
CoRR (2023)
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn