The statistical signature of confidence is not necessarily a folded X-pattern

Confidence in perceptual choices is a degree of belief that a choice about a stimulus is correct. To identify the neural correlates of decision confidence, recent studies have widely used statistical signatures of confidence. The most widely used statistical signature is the folded X-signature, which states that the subjective probability of being correct is 0.75 when the stimulus is neutral about the choice, increases with discriminability in correct trials, and decreases with discriminability in incorrect trials. We show that the folded X-signature is limited to specific conditions. If decision makers are provided with evidence about discriminability, objective confidence follows a different statistical signature: for both correct and incorrect choices, confidence increases with discriminability. In addition, if the simulated experiment involves discrete levels of discriminability, confidence in choices about neutral stimuli is not 0.75. Overall, this means that researchers should not search for correlates of confidence by assuming the folded X-signature a priori.

[1]  Dan Bang,et al.  Distinct encoding of decision confidence in human medial prefrontal cortex , 2018, Proceedings of the National Academy of Sciences.

[2]  Michael Zehetleitner,et al.  Visibility Is Not Equivalent to Confidence in a Low Contrast Orientation Discrimination Task , 2016, Front. Psychol..

[3]  Alexandre Pouget,et al.  Confidence and certainty: distinct probabilistic quantities for different goals , 2016, Nature Neuroscience.

[4]  Stephen M Fleming,et al.  Neural mediators of changes of mind about perceptual decisions , 2018, Nature Neuroscience.

[5]  Hatim A. Zariwala,et al.  Neural correlates, computation and behavioural impact of decision confidence , 2008, Nature.

[6]  Anne E. Urai,et al.  Pupil-linked arousal is driven by decision uncertainty and alters serial choice bias , 2017, Nature Communications.

[7]  Hakwan Lau,et al.  Human observers have optimal introspective access to perceptual processes even for visually masked stimuli , 2015, eLife.

[8]  R. Baierlein Probability Theory: The Logic of Science , 2004 .

[9]  M. Tribus,et al.  Probability theory: the logic of science , 2003 .

[10]  B. Postle,et al.  Confidence boosts serial dependence in orientation estimation , 2018, bioRxiv.

[11]  Michael N. Shadlen,et al.  Effects of Cortical Microstimulation on Confidence in a Perceptual Decision , 2014, Neuron.

[12]  M. Shadlen,et al.  Choice Certainty Is Informed by Both Evidence and Decision Time , 2014, Neuron.

[13]  M. Shadlen,et al.  Representation of Confidence Associated with a Decision by Neurons in the Parietal Cortex , 2009, Science.

[14]  K. Fujita,et al.  Do birds (pigeons and bantams) know how confident they are of their perceptual decisions? , 2010, Animal Cognition.

[15]  Wei Ji Ma,et al.  Limitations of proposed signatures of Bayesian confidence , 2017, bioRxiv.

[16]  D. Wolpert,et al.  A common mechanism underlies changes of mind about decisions and confidence , 2015, eLife.

[17]  Paul M Bays,et al.  Obligatory encoding of task-irrelevant features depletes working memory resources. , 2012, Journal of vision.

[18]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[19]  John-Dylan Haynes,et al.  The Relationship between Perceptual Decision Variables and Confidence in the Human Brain. , 2016, Cerebral cortex.

[20]  Jan Drugowitsch,et al.  Becoming Confident in the Statistical Nature of Human Confidence Judgments , 2016, Neuron.

[21]  Adam Kepecs,et al.  A computational framework for the study of confidence in humans and animals , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[22]  G. Deco,et al.  Neural correlates of metacognition: A critical perspective on current tasks , 2016, Neuroscience & Biobehavioral Reviews.

[23]  M. Sigman,et al.  Confidence as Bayesian Probability: From Neural Origins to Behavior , 2015, Neuron.

[24]  Adam Kepecs,et al.  Midbrain Dopamine Neurons Signal Belief in Choice Accuracy during a Perceptual Decision , 2017, Current Biology.

[25]  Nathaniel D. Daw,et al.  Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation , 2017, Psychological review.

[26]  A. Koulakov,et al.  Orbitofrontal Cortex Is Required for Optimal Waiting Based on Decision Confidence , 2014, Neuron.

[27]  Tobias H. Donner,et al.  Adaptive History Biases Result from Confidence-Weighted Accumulation of past Choices , 2017, The Journal of Neuroscience.

[28]  P. Latham,et al.  The idiosyncratic nature of confidence , 2017, Nature Human Behaviour.

[29]  Nick Yeung,et al.  Shared Neural Markers of Decision Confidence and Error Detection , 2015, The Journal of Neuroscience.

[30]  Ariel Zylberberg,et al.  The construction of confidence in a perceptual decision , 2012, Front. Integr. Neurosci..

[31]  Wei Ji Ma,et al.  Comparing Bayesian and non-Bayesian accounts of human confidence reports , 2018, PLoS Comput. Biol..

[32]  Manuel Rausch,et al.  Confidence in masked orientation judgments is informed by both evidence and visibility , 2017, Attention, Perception, & Psychophysics.

[33]  E. Rolls,et al.  Decision-making, errors, and confidence in the brain. , 2010, Journal of neurophysiology.

[34]  Joshua I. Sanders,et al.  Signatures of a Statistical Computation in the Human Sense of Confidence , 2016, Neuron.

[35]  Yaoda Xu,et al.  The Neural Fate of Task-Irrelevant Features in Object-Based Processing , 2010, The Journal of Neuroscience.

[36]  Brian Odegaard,et al.  Superior colliculus neuronal ensemble activity signals optimal rather than subjective confidence , 2017, Proceedings of the National Academy of Sciences.

[37]  Ádám Kepecs,et al.  A mathematical framework for statistical decision confidence , 2015, bioRxiv.

[38]  Peter E. Latham,et al.  Doubly Bayesian Analysis of Confidence in Perceptual Decision-Making , 2015, PLoS Comput. Biol..

[39]  Gerd Gigerenzer,et al.  Heuristic decision making. , 2011, Annual review of psychology.

[40]  Derek H. Arnold,et al.  Computations underlying confidence in visual perception. , 2016, Journal of experimental psychology. Human perception and performance.

[41]  D. Wolpert,et al.  Changing your mind: a computational mechanism of vacillation , 2009, Nature.

[42]  Megan A. K. Peters,et al.  Perceptual confidence neglects decision-incongruent evidence in the brain , 2017, Nature Human Behaviour.

[43]  Yutaka Komura,et al.  Responses of pulvinar neurons reflect a subject's confidence in visual categorization , 2013, Nature Neuroscience.

[44]  V. de Gardelle,et al.  The Impact of Evidence Reliability on Sensitivity and Bias in Decision Confidence , 2017, Journal of experimental psychology. Human perception and performance.

[45]  R. T. Cox Probability, frequency and reasonable expectation , 1990 .

[46]  Rachel N. Denison,et al.  Supra-optimality may emanate from suboptimality, and hence optimality is no benchmark in multisensory integration , 2018, Behavioral and Brain Sciences.

[47]  M. Usher,et al.  Post choice information integration as a causal determinant of confidence: Novel data and a computational account , 2015, Cognitive Psychology.

[48]  Karl J. Friston The free-energy principle: a unified brain theory? , 2010, Nature Reviews Neuroscience.

[49]  Olaf Blanke,et al.  Behavioral, Modeling, and Electrophysiological Evidence for Supramodality in Human Metacognition , 2018, The Journal of Neuroscience.

[50]  Timothy J. Pleskac,et al.  Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. , 2010, Psychological review.