The influence of evidence volatility on choice, reaction time and confidence in a perceptual decision

Many decisions are thought to arise via the accumulation of noisy evidence to a threshold or bound. In perception, the mechanism explains the effect of stimulus strength, characterized by signal-to-noise ratio, on decision speed, accuracy and confidence. It also makes intriguing predictions about the noise itself. An increase in noise should lead to faster decisions, reduced accuracy and, paradoxically, higher confidence. To test these predictions, we introduce a novel sensory manipulation that mimics the addition of unbiased noise to motion-selective regions of visual cortex, which we verified with neuronal recordings from macaque areas MT/MST. For both humans and monkeys, increasing the noise induced faster decisions and greater confidence over a range of stimuli for which accuracy was minimally impaired. The magnitude of the effects was in agreement with predictions of a bounded evidence accumulation model. DOI: http://dx.doi.org/10.7554/eLife.17688.001

[1]  V. Henmon,et al.  The relation of the time of a judgment to its accuracy. , 1911 .

[2]  Kenneth Knoblauch,et al.  Quantifying the watercolor effect: from stimulus properties to neural models , 2014, Front. Hum. Neurosci..

[3]  K. H. Britten,et al.  Responses of neurons in macaque MT to stochastic motion signals , 1993, Visual Neuroscience.

[4]  Timothy D. Hanks,et al.  Bounded Integration in Parietal Cortex Underlies Decisions Even When Viewing Duration Is Dictated by the Environment , 2008, The Journal of Neuroscience.

[5]  Ehud Zohary,et al.  Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.

[6]  S Celebrini,et al.  Microstimulation of extrastriate area MST influences performance on a direction discrimination task. , 1995, Journal of neurophysiology.

[7]  W. Newsome,et al.  The Variable Discharge of Cortical Neurons: Implications for Connectivity, Computation, and Information Coding , 1998, The Journal of Neuroscience.

[8]  Rajesh P. N. Rao,et al.  Decision Making Under Uncertainty: A Neural Model Based on Partially Observable Markov Decision Processes , 2010, Front. Comput. Neurosci..

[9]  H. Lau,et al.  Low attention impairs optimal incorporation of prior knowledge in perceptual decisions , 2015, Attention, perception & psychophysics.

[10]  H. Lau,et al.  How to measure metacognition , 2014, Front. Hum. Neurosci..

[11]  T. Birdsall,et al.  Two Types of ROC Curves and Definitions of Parameters , 1959 .

[12]  Bahador Bahrami,et al.  Post-decisional accounts of biases in confidence , 2016, Current Opinion in Behavioral Sciences.

[13]  M. Shadlen,et al.  Response of Neurons in the Lateral Intraparietal Area during a Combined Visual Discrimination Reaction Time Task , 2002, The Journal of Neuroscience.

[14]  Sophie Deneve,et al.  Making Decisions with Unknown Sensory Reliability , 2012, Front. Neurosci..

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

[16]  William T. Newsome,et al.  Cortical microstimulation influences perceptual judgements of motion direction , 1990, Nature.

[17]  Eero P. Simoncelli,et al.  How MT cells analyze the motion of visual patterns , 2006, Nature Neuroscience.

[18]  Rubén Moreno-Bote,et al.  Decision Confidence and Uncertainty in Diffusion Models with Partially Correlated Neuronal Integrators , 2010, Neural Computation.

[19]  M. Shadlen,et al.  Decision Making as a Window on Cognition , 2013, Neuron.

[20]  A. Pouget,et al.  The Cost of Accumulating Evidence in Perceptual Decision Making , 2012, The Journal of Neuroscience.

[21]  R J AUDLEY,et al.  A stochastic model for individual choice behavior. , 1960, Psychological review.

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

[23]  A Gorea,et al.  Failure to handle more than one internal representation in visual detection tasks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[24]  D. G. Albrecht,et al.  Visual cortex neurons in monkeys and cats: Detection, discrimination, and identification , 1997, Visual Neuroscience.

[25]  R PIERREL,et al.  Some relationships between comparative judgment, confidence, and decision-time in weight-lifting. , 1963, The American journal of psychology.

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

[27]  A. Tolias,et al.  Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization , 2013, Proceedings of the National Academy of Sciences.

[28]  C. Summerfield,et al.  Robust averaging during perceptual judgment , 2011, Proceedings of the National Academy of Sciences.

[29]  J. Wolfowitz,et al.  Optimum Character of the Sequential Probability Ratio Test , 1948 .

[30]  P. Bossaerts,et al.  Neural Mechanisms Behind Identification of Leptokurtic Noise and Adaptive Behavioral Response , 2016, Cerebral cortex.

[31]  Richard H. Thaler,et al.  Do Security Analysts Overreact , 1990 .

[32]  William R. Ferrell,et al.  A model of calibration for subjective probabilities , 1980 .

[33]  J. Anthony Movshon,et al.  Dissociation of Neuronal and Psychophysical Responses to Local and Global Motion , 2011, Current Biology.

[34]  M. Shadlen,et al.  Decision-making with multiple alternatives , 2008, Nature Neuroscience.

[35]  Blai Bonet,et al.  A Concise Introduction to Models and Methods for Automated Planning , 2013, A Concise Introduction to Models and Methods for Automated Planning.

[36]  Michael N. Shadlen,et al.  The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer. , 2007 .

[37]  Wei Ji Ma,et al.  A detailed comparison of optimality and simplicity in perceptual decision making. , 2016, Psychological review.

[38]  Rajesh P. N. Rao,et al.  How Prior Probability Influences Decision Making: A Unifying Probabilistic Model , 2012, NIPS.

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

[40]  Christopher Summerfield,et al.  Metacognition in human decision-making: confidence and error monitoring , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[41]  H. Lau,et al.  Attention induces conservative subjective biases in visual perception , 2011, Nature Neuroscience.

[42]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[43]  Pascal Mamassian,et al.  Weighting Mean and Variability during Confidence Judgments , 2015, PloS one.

[44]  Bruce Luber,et al.  Direct injection of noise to the visual cortex decreases accuracy but increases decision confidence. , 2012, Journal of neurophysiology.

[45]  Philip L. Smith,et al.  Experimental paradigms emphasising state or process limitations: II effects on confidence , 1985 .

[46]  Rajesh P. N. Rao,et al.  Bayesian brain : probabilistic approaches to neural coding , 2006 .

[47]  G. Orban,et al.  The response variability of striate cortical neurons in the behaving monkey , 2004, Experimental Brain Research.

[48]  J. Movshon,et al.  A computational analysis of the relationship between neuronal and behavioral responses to visual motion , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[49]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[50]  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.

[51]  L. Festinger,et al.  A quantitative theory of decision , 1943 .

[52]  D. Vickers Decision processes in visual perception , 1979 .

[53]  J. Gold,et al.  The neural basis of decision making. , 2007, Annual review of neuroscience.

[54]  Jeannette A. M. Lorteije,et al.  The Formation of Hierarchical Decisions in the Visual Cortex , 2015, Neuron.

[55]  Timothy D. Hanks,et al.  Microstimulation of macaque area LIP affects decision-making in a motion discrimination task , 2006, Nature Neuroscience.

[56]  M. Shadlen,et al.  A role for neural integrators in perceptual decision making. , 2003, Cerebral cortex.

[57]  B. Mandelbrot The Variation of Certain Speculative Prices , 1963 .

[58]  Hakwan Lau,et al.  Heuristic use of perceptual evidence leads to dissociation between performance and metacognitive sensitivity , 2016, Attention, Perception, & Psychophysics.

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

[60]  E H Adelson,et al.  Spatiotemporal energy models for the perception of motion. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[61]  Pieter R. Roelfsema,et al.  Variance misperception explains illusions of confidence in simple perceptual decisions , 2014, Consciousness and Cognition.

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

[63]  J. Movshon,et al.  The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.

[64]  P H Ellaway,et al.  Cumulative sum technique and its application to the analysis of peristimulus time histograms. , 1978, Electroencephalography and clinical neurophysiology.

[65]  M. Shadlen,et al.  Microstimulation of visual cortex affects the speed of perceptual decisions , 2003, Nature Neuroscience.

[66]  W. Bair,et al.  Correlated Firing in Macaque Visual Area MT: Time Scales and Relationship to Behavior , 2001, The Journal of Neuroscience.

[67]  B. Mandlebrot The Variation of Certain Speculative Prices , 1963 .

[68]  Timothy D. Hanks,et al.  Elapsed Decision Time Affects the Weighting of Prior Probability in a Perceptual Decision Task , 2011, The Journal of Neuroscience.

[69]  M. Shadlen,et al.  The effect of stimulus strength on the speed and accuracy of a perceptual decision. , 2005, Journal of vision.

[70]  J. Movshon,et al.  The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[71]  Alexandre Pouget,et al.  Optimal decision-making with time-varying evidence reliability , 2014, NIPS.