Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations
نویسندگان
چکیده
منابع مشابه
Multivariate cross-classification: applying machine learning techniques to characterize abstraction in neural representations
Here we highlight an emerging trend in the use of machine learning classifiers to test for abstraction across patterns of neural activity. When a classifier algorithm is trained on data from one cognitive context, and tested on data from another, conclusions can be drawn about the role of a given brain region in representing information that abstracts across those cognitive contexts. We call th...
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ژورنال
عنوان ژورنال: Frontiers in Human Neuroscience
سال: 2015
ISSN: 1662-5161
DOI: 10.3389/fnhum.2015.00151