Implications of decoding for theories of neural representation
author:
James Haxby,
Princeton University
Categories
Top: Computer Science: Machine Learning: Neural NetworksTop: Computer Science: Image Analysis: fMRI - Analysis
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Insightful lecture on how pattern classification methods can extract more data from fMRI experimentation. Presented at a level that addresses both cognitive (neuro)scientists and machine learning theorists.
it seems that the artificial intelligence through brain decoding is still years away, we are merely incrementally add the features and patterns which are so specific, to finally aggregate ai, and that will be too clumsy to build that intelligence, and actually lots of them are exceeding details that are implementation specific, hard to be defferentiated from those essence to intelligence