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Implications of decoding for theories of neural representation

Implications of decoding for theories of neural representation

This video was recorded at NIPS Workshop on New Directions on Decoding Mental States from fMRI Data, Whistler 2006. In the past five years machine learning classifiers have met great interest in the field of cognitive neuroscience. The use of classifiers for decoding has emerged as a powerful technique that enables researchers to make predictions about the mental state of a subject directly from fMRI data. This work has received considerable attention because it is seen as a way to overcome limitations of more conventional fMRI analysis methods. Whereas conventional fMRI research is focused on spatially localising cognitive modules, decoding-based research allows for the first time the study of the neural encoding of specific mental contents in the human brain. The recent progress has also... Show More
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