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Megan Peters, Thomas Thesen, Yoshiaki Ko, Brian Maniscalco, Chad Carlson, Matt Davidson, Werner Doyle, Ruben Kuzniecky, Orrin Devinsky, Eric Halgren, Hakwan Lau; Human intracranial electrophysiology suggests suboptimal calculations underlie perceptual confidence!. Journal of Vision 2017;17(10):1272. doi: 10.1167/17.10.1272.
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© ARVO (1962-2015); The Authors (2016-present)
Prevailing opinion holds that perceptual decisions and confidence in those decisions depend on the same calculations: both optimally reflect the probability of having made a correct decision. However, recent behavioral reports suggest that confidence computations overemphasize the magnitude of information supporting a decision, while selectively down-weighting evidence for other possible choices. Until now, neurobiological evidence supporting this theory has been lacking. Here we use human ECoG and machine learning techniques to demonstrate that perceptual decisions and confidence rely on separable neural representations in a face/house discrimination task. We then show that confidence overly relies on evidence supporting the decision an observer made, even while decisions themselves reflect the optimal balance of evidence for all choices. These findings suggest confidence may not reflect a direct readout of the probability of being correct. While seemingly suboptimal, this strategy may reflect the inference problem that perceptual systems are evolutionarily optimized to solve.
Meeting abstract presented at VSS 2017
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