Big Data in Cognitive Neuroscience: Opportunities and Challenges

被引：0
|
作者：
Dadi, Kamalaker [1 ]
Surampudi, Bapi Raju [1 ,2 ]
机构：
[1] Int Inst Informat Technol, IHub Data, Hyderabad 500032, Telangana, India
[2] Int Inst Informat Technol, Cognit Sci Lab, Hyderabad 500032, Telangana, India
来源：
BIG DATA ANALYTICS, BDA 2022 | 2022年 / 13773卷
关键词：
Cognitive science; Brain function; Neuroimaging; Encoding; Machine learning; Decoding; FUNCTIONAL BRAIN NETWORKS; CONNECTIVITY; METAANALYSIS; STIMULATION; SCIENCE; SINGLE;
D O I：
10.1007/978-3-031-24094-2_2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cognitive brain mapping is enjoying its growth with the availability of large open data sharing efforts as well as the application of modern machine learning and deep learning methods. In this article, we review some of the current practices in cognitive neuroscience predominantly focusing on functional imaging and highlight the tremendous opportunities fostered by the unprecedented scale of datasets in cognitive neuroscience. We also point out challenges and limitations to keep in mind while working with these datasets.
引用
收藏
页码：16 / 30
页数：15
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