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Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction

Psychology

Distinguishing deception from its confounds by improving the validity of fMRI-based neural prediction

S. Lee, R. Niu, et al.

Using fMRI and machine learning on signaling games, this study exposes how much neural predictors of deception actually reflect confounds and introduces a corrective: a “dual-goal tuning” method that removes confounding signals while retaining task-relevant ones. Research was conducted by Sangil Lee, Runxuan Niu, Lusha Zhu, Andrew S. Kayser, and Ming Hsu.... show more
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Citations
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65
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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