Prior probability and feature predictability interactively bias perceptual decisions

Neuropsychologia

Volumn 61, Issue 1, 2014, Pages 210-221

  Dunovan, Kyle E ^a,b   Tremel, Joshua J ^a,b   Wheeler, Mark E ^a,b,c  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Drift diffusion model; Expectation; Perceptual decision making; Predictive coding

Indexed keywords

ACCURACY; ADULT; ANTICIPATION; ARTICLE; COGNITIVE BIAS; CONTROLLED STUDY; DECISION MAKING; EXPECTATION; FACE; FEMALE; HUMAN; HUMAN EXPERIMENT; MALE; PERCEPTIVE DISCRIMINATION; PREDICTION; PROBABILITY; RESPONSE TIME; STIMULUS RESPONSE; TASK PERFORMANCE; THEORY OF MIND; ASSOCIATION; NEUROPSYCHOLOGICAL TEST; PHOTOSTIMULATION; PROCEDURES; PSYCHOLOGICAL MODEL; REACTION TIME; VISION; YOUNG ADULT;

ADULT; ANTICIPATION, PSYCHOLOGICAL; CUES; DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); FACE; FEMALE; HUMANS; MALE; MODELS, PSYCHOLOGICAL; NEUROPSYCHOLOGICAL TESTS; PHOTIC STIMULATION; PROBABILITY; REACTION TIME; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84904255024     PISSN: 00283932     EISSN: 18733514     Source Type: Journal    
DOI: 10.1016/j.neuropsychologia.2014.06.024     Document Type: Article

References (57)

1. Alink A., Schwiedrzik C.M., Kohler A., Singer W., Muckli L. Stimulus predictability reduces responses in primary visual cortex. Journal of Neuroscience 2010, 30:2960-2966.
2. Bland A.R., Schaefer A. Different varieties of uncertainty in human decision-making. Frontiers in Neuroscience 2012, 6:85.
3. Bogacz R., Brown E., Moehlis J., Holmes P., Cohen J.D. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychological review 2006, 113:700-765.
4. Bowman N.E., Kording K.P., Gottfried J.A. Temporal integration of olfactory perceptual evidence in human orbitofrontal cortex. Neuron 2012, 75(5):916-927.
5. Burnham K., Anderson D. Model selection and multimodel inference: a practical information-theoretic approach 2002, Springer-Verlag New York, Inc., New York, NY. 2nd ed.
6. Carlson T.A., Ritchie J.B., Kriegeskorte N., Durvasula S., Ma J. Reaction time for object categorization is predicted by representational distance. Journal of Cognitive Neuroscience 2013, 26:132-142.
7. Carlsson K., Petrovic P., Skare S., Petersson K.M., Ingvar M. Tickling expectations: neural processing in anticipation of a sensory stimulus. Journal of Cognitive Neuroscience 2000, 12:691-703.
8. Carpenter R.H.S., Williams M.L.L. Neural computation of log likelihood in control of saccadic eye movements. Nature 1995, 377:59-62.
9. Chennu S., Noreika V., Gueorguiev D., Blenkmann A., Kochen S., Ibáñez A., et al. Expectation and attention in hierarchical auditory prediction. Journal of Neuroscience 2013, 33:11194-11205.
10. Clark A. Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 2013, 36:181-204.
11. Cravo A.M., Rohenkohl G., Wyart V., Nobre A.C. Temporal expectation enhances contrast sensitivity by phase entrainment of low-frequency oscillations in visual cortex. Journal of Neuroscience 2013, 33:4002-4010.
12. De Gardelle V., Waszczuk M., Egner T., Summerfield C. Concurrent repetition enhancement and suppression responses in extrastriate visual cortex. Cerebral Cortex 2013, 23:2235-2244.
13. Desimone R. Visual attention mediated by biased competition in extrastriate visual cortex. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 1998, 353:1245-1255.
14. Diederich A., Busemeyer J.R. Modeling the effects of payoff on response bias in a perceptual discrimination task': two-stage-processing hypothesis. Perception & Psychophysics 2006, 68:194-207.
15. Edwards W. Optimal strategies for seeking information: models for statistics, choice reaction times, and human information processing. Journal of Mathematical Psychology 1965, 2:312-329.
16. Esterman M., Yantis S. Perceptual expectation evokes category-selective cortical activity. Cerebral Cortex 2010, 20:1245-1253.
17. Friston K. A theory of cortical responses. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 2005, 360:815-836.
18. Gold J.I., Shadlen M.N. The neural basis of decision making. Annual Review of Neuroscience 2007, 30:535-574.
19. Hanks T.D., Mazurek M.E., Kiani R., Hopp E., Shadlen M.N. Elapsed decision time affects the weighting of prior probability in a perceptual decision task. Journal of Neuroscience 2011, 31:6339-6352.
20. Heekeren H.R., Marrett S., Bandettini P.A., Ungerleider L.G. A general mechanism for perceptual decision-making in the human brain. Nature 2004, 431:859-862.
21. Hesselmann G., Sadaghiani S., Friston K.J., Kleinschmidt A. Predictive coding or evidence accumulation? False inference and neuronal fluctuations. PloS One 2010, 5:e9926.
22. Jiang J., Summerfield C., Egner T. Attention sharpens the distinction between expected and unexpected percepts in the visual brain. Journal of Neuroscience 2013, 33:18438-18447.
23. Kastner S., Ungerleider L.G. The neural basis of biased competition in human visual cortex. Neuropsychologia 2001, 39:1263-1276.
24. Kok P., Failing M., de Lange F.P. Prior expectations evoke stimulus templates in the primary visual cortex. Journal of Cognitive Neuroscience 2014, 26:1-9.
25. Kok P., Jehee J.F.M., de Lange F.P. Less is more: expectation sharpens representations in the primary visual cortex. Neuron 2012, 75:265-270.
26. Król M.E., El-Deredy W. Misperceptions are the price for facilitation in object recognition. Journal of Cognitive Psychology 2011, 23:641-649.
27. Król M.E., El-Deredy W. When believing is seeing: the role of predictions in shaping visual perception. Quarterly Journal of Experimental Psychology 2011, 64:1743-1771.
28. Kveraga K., Ghuman A.S., Bar M. Top-down predictions in the cognitive brain. Brain and Cognition 2007, 65:145-168.
29. Leite F., Ratcliff R. What cognitive processes drive response biases? A diffusion model analysis. Judgment and Decision Making 2011, 6:651-687.
30. Link S., Heath R. A sequential theory of psychological discrimination. Psychometrika 1975, 40:77-105.
31. Mulder M.J., Wagenmakers E.-J., Ratcliff R., Boekel W., Forstmann B.U. Bias in the brain: a diffusion model analysis of prior probability and potential payoff. Journal of Neuroscience 2012, 32:2335-2343.
32. Pedregosa F., Varoquaux G., Gramfort A., Michel V., Thirion B., Grisel O., et al. Scikit-learn: machine learning in Python. The Journal of Machine Learning Research 2011, 12:2825-2830.
33. Peirce J.W. PsychoPy-Psychophysics software in Python. Journal of Neuroscience Methods 2007, 162:8-13.
34. Philiastides M.G., Auksztulewicz R., Heekeren H.R., Blankenburg F. Causal role of dorsolateral prefrontal cortex in human perceptual decision making. Current Biology 2011, 21:980-983.
35. Ploran E.J., Nelson S.M., Velanova K., Donaldson D.I., Petersen S.E., Wheeler M.E. Evidence accumulation and the moment of recognition: dissociating perceptual recognition processes using fMRI. Journal of Neuroscience 2007, 27:11912-11924.
36. Ploran E.J., Tremel J.J., Nelson S.M., Wheeler M.E. High quality but limited quantity perceptual evidence produces neural accumulation in frontal and parietal cortex. Cerebral Cortex 2011, 21:2650-2662.
37. Puri A.M., Wojciulik E. Expectation both helps and hinders object perception. Vision Research 2008, 48:589-597.
38. Rahnev D., Lau H., de Lange F.P. Prior expectation modulates the interaction between sensory and prefrontal regions in the human brain. Journal of Neuroscience 2011, 31:10741-10748.
39. Ratcliff R. A theory of memory retrieval. Psychological review 1978, 85:59.
40. Ratcliff R., McKoon G. The diffusion decision model: theory and data for two-choice decision tasks. Neural Computation 2008, 20:873-922.
41. Seber G.A. Multivariate observations 2009, 252. John Wiley & Sons; Hoboken, NJ.
42. Seibert, D. A., Leeds, D. D., & Tarr, M. J. (2012). Image Similarity Toolbox. Center for the Neural Basis of Cognition and Department of Psychology, Carnegie Mellon University. Retrieved from http://www.tarrlab.org/.
43. Shulman G.L., Ollinger J.M., Akbudak E., Conturo T.E., Snyder A.Z., Petersen S.E., et al. Areas involved in encoding and applying directional expectations to moving objects. Journal of Neuroscience 1999, 19:9480-9496.
44. Simen P. Evidence accumulator or decision threshold-which cortical mechanism are we observing?. Frontiers in Psychology 2012, 3:183.
45. Spiegelhalter D., Best N., Carlin B., Linde A. Van der Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex models 1998, (Research Report 98-009).
46. Spratling M.W. Reconciling predictive coding and biased competition models of cortical function. Frontiers in Computational Neuroscience 2008, 2:4.
47. Summerfield C., Egner T. Expectation (and attention) in visual cognition. Trends in Cognitive Sciences 2009, 13:403-409.
48. Summerfield C., Egner T., Greene M., Koechlin E., Mangels J., Hirsch J. Predictive codes for forthcoming perception in the frontal cortex. Science 2006, 314:1311-1314.
49. Summerfield C., Egner T., Mangels J., Hirsch J. Mistaking a house for a face: neural correlates of misperception in healthy humans. Cerebral Cortex 2006, 16:500-508.
50. Summerfield C., Koechlin E. A neural representation of prior information during perceptual inference. Neuron 2008, 59:336-347.
51. Van Ravenzwaaij D., Mulder M.J., Tuerlinckx F., Wagenmakers E.-J. Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test. Frontiers in Psychology 2012, 3:132.
52. Vandekerckhove J., Tuerlinckx F. Fitting the Ratcliff diffusion model to experimental data. Psychonomic Bulletin & Review 2007, 14:1011-1026.
53. White C.N., Mumford J.A., Poldrack R.A. Perceptual criteria in the human brain. Journal of Neuroscience 2012, 32:16716-16724.
54. Wiecki T., Sofer I., Frank M.J. HDDM: hierarchical Bayesian estimation of the drift-diffusion model in Python. Frontiers in Neuroinformatics 2013, 7:14.
55. Wyart V., Nobre A.C., Summerfield C. Dissociable prior influences of signal probability and relevance on visual contrast sensitivity. Proceedings of the National Academy of Sciences 2012, 109. 6354-6354.
56. Zelano C., Mohanty A., Gottfried J.A. Olfactory predictive codes and stimulus templates in piriform cortex. Neuron 2011, 72:178-187.
57. Zhang J., Rowe J.B. Dissociable mechanisms of speed-accuracy tradeoff during visual perceptual learning are revealed by a hierarchical drift-diffusion model. Frontiers in Neuroscience 2014, 8:1-13.