The relative influences of priors and sensory evidence on an oculomotor decision variable during perceptual learning

Journal of Neurophysiology

Volumn 100, Issue 5, 2008, Pages 2653-2668

  Gold, Joshua I ^a   Law, Chi Tat ^a   Connolly, Patrick ^a   Bennur, Sharath ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ARTICLE; DECISION MAKING; EXPECTATION; EXPERIMENTAL MONKEY; EYE MOVEMENT CONTROL; FEMALE; LEARNING; MALE; MOTION; MOVEMENT PERCEPTION; NONHUMAN; PRIORITY JOURNAL; TEMPORAL CORTEX; TRAINING; VISION;

ANIMALS; ASSOCIATION LEARNING; BEHAVIOR, ANIMAL; DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); ELECTRIC STIMULATION; EVOKED POTENTIALS, VISUAL; EYE MOVEMENTS; FEMALE; FRONTAL LOBE; MACACA MULATTA; MALE; MODELS, STATISTICAL; MOTION PERCEPTION; PHOTIC STIMULATION; PSYCHOMETRICS; REACTION TIME; VISUAL FIELDS;

EID: 57149099818     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.90629.2008     Document Type: Article

References (80)

1. Ashby FG. A biased random walk model for two choice reaction times. J Math Psychol 27: 277-297, 1983.
2. Barraclough DJ, Conroy ML, Lee D. Prefrontal cortex and decision making in a mixed-strategy game. Nat Neurosci 7: 404-410, 2004.
3. Behrens TE, Woolrich MW, Walton ME, Rushworth MF. Learning the value of information in an uncertain world. Nat Neurosci 10: 1214-1221, 2007.
4. Bonnet DG, Wright TA. Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika 65: 23-28, 2000.
5. Botvinick MM, Braver TS, Barch DM, Carter CS, Cohen JD. Conflict monitoring and cognitive control. Psychol Rev 108: 624-652, 2001.
6. Brainard DH. The Psychophysics Toolbox. Spat Vis 10: 433-436, 1997.
7. Britten KH, Shadlen MN, Newsome WT, Movshon JA. The analysis of visual motion: a comparison of neuronal and psychophysical performance. J Neurosci 12: 4745-4765, 1992.
8. Burnham KP, Anderson DR. Model Selection and Multi-Model Inference. New York: Springer, 2004.
9. Carpenter RH, Williams ML. Neural computation of log likelihood in control of saccadic eye movements. Nature 377: 59-62, 1995.
10. Cho RY, Nystrom LE, Brown ET, Jones AD, Braver TS, Holmes PJ, Cohen JD. Mechanisms underlying dependencies of performance on stimulus history in a two-alternative forced-choice task. Cogn Affect Behav Neurosci 2: 283-299, 2002.
11. Clark A. Being There: Putting Brain, Body, and World Together Again. Cambridge, MA: MIT Press, 1997.
12. Corrado GS, Sugrue LP, Seung HS, Newsome WT. Linear-nonlinear- Poisson models of primate choice dynamics. J Exp Anal Behav 84: 581-617, 2005.
13. Cowie RJ. Optimal foraging in great tits (Parus major). Nature 268: 137-139, 1977.
14. Davidson M, McCarthy D. The Matching Law: A Research Review. Hillsdale, NJ: Erlbaum, 1988.
15. Dayan P, Abbott LF. Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems. Cambridge, MA: MIT Press, 2001.
16. Eckhoff P, Holmes P, Law C-T, Connolly PM, Gold JI. On diffusion processes with variable drift rates as models for decision making during learning. New J Physics (January 31, 2008). doi:1088/1367-2630/10/1/ 015006.
17. Funahashi S, Bruce CJ, Goldman-Rakic PS. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. J Neurophysiol 61: 331-349, 1989.
18. Fuster JM. Executive frontal functions. Exp Brain Res 133: 66-70, 2000.
19. Gallistel CR, Mark TA, King AP, Latham PE. The rat approximates an ideal detector of changes in rates of reward: implications for the law of effect. J Exp Psychol Anim Behav Process 27: 354-372, 2001.
20. Gold JI, Shadlen MN. Representation of a perceptual decision in developing oculomotor commands. Nature 404: 390-394, 2000.
21. Gold JI, Shadlen MN. Neural computations that underlie decisions about sensory stimuli. Trends Cogn Sci 5: 10-16, 2001.
22. Gold JI, Shadlen MN. The influence of behavioral context on the representation of a perceptual decision in developing oculomotor commands. J Neurosci 23: 632-651, 2003.
23. Gold JI, Shadlen MN. The neural basis of decision making. Annu Rev Neurosci 30: 535-574, 2007.
24. Goldman-Rakic PS. Cellular basis of working memory. Neuron 14: 477-485, 1995.
25. Green DM, Swets JA. Signal Detection Theory and Psychophysics. New York: Wiley, 1966.
26. Hanks TD, Ditterich J, Shadlen MN. Microstimulation of macaque area LIP affects decision-making in a motion discrimination task. Nat Neurosci 9: 682-689, 2006.
27. Hays AV, Richmond BJ, Optican LM. Unix-based multiple-process system for real-time data acquisition and control. WESCON Proc Conf 1-10, 1982.
28. Herrnstein RJ. Relative and absolute strength of response as a function of frequency of reinforcement. J Exp Anal Behav 4: 267-272, 1961.
29. Herrnstein RJ, Vaughan W. Melioration and behavioral allocation. In: Limits to Action: The Allocation of Individual Behavior, edited by Staddon JE. New York: Academic Press, 1980, p. 143.
30. Horwitz GD, Newsome WT. Separate signals for target selection and movement specification in the superior colliculus. Science 284: 1158-1161, 1999.
31. Horwitz GD, Newsome WT. Target selection for saccadic eye movements: prelude activity in the superior colliculus during a direction-discrimination task. J Neurophysiol 86: 2543-2558, 2001.
32. Kalwani RM, Bloy L, Elliott MA, Gold JI. A method for localizing microelectrode trajectories in the macaque brain using MRI. J Neurosci Methods In press.
33. Kennerley SW, Walton ME, Behrens TE, Buckley MJ, Rushworth MF. Optimal decision making and the anterior cingulate cortex. Nat Neurosci 9: 940-947, 2006.
34. Kersten D, Marnassian P, Yuille AL. Object perception as Bayesian inference. Ann Rev Psychol 55: 271-304, 2004.
35. Kiani R, Hanks TD, Shadlen MN. Bounded integration in parietal cortex underlies decisions even when viewing duration is dictated by the environment. J Neurosci 28: 3017-3029, 2008.
36. Killeen PR. Mathematical principles of reinforcement. Behav Brain Sci 17: 105-172, 1994.
37. Kim JN, Shadlen MN. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat Neurosci 2: 176-185, 1999.
38. Kirby NH. Sequential effects in two-choice reaction time: automatic facilitation or subjective expectancy? J Exp Psychol Hum Percept Perform 2: 567-577, 1976.
39. Kustov AA, Robinson DL. Shared neural control of attentional shifts and eye movements. Nature 384: 74-77, 1996.
40. Laming DRJ. Information Theory of Choice Reaction Time. New York: Wiley, 1968.
41. Laming DRJ. Choice reaction performance following an error. Acta Psychol (Amst) 43: 199-224, 1979.
42. Lau B, Glimcher PW. Dynamic response-by-response models of matching behavior in rhesus monkeys. J Exp Anal Behav 84: 555-579, 2005.
43. Law CT, Gold JI. Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area. Nat Neurosci 11: 505-513, 2008.
44. Lee D, Conroy ML, McGreevy BP, Barraclough DJ. Reinforcement learning and decision making in monkeys during a competitive game. Brain Res Cogn Brain Res 22: 45-58, 2004.
45. Link SW. The Wave Theory of Difference and Similarity. Hillsdale, NJ: Erlbaum, 1992.
46. Luce RD. Response Times: Their Role in Inferring Elementary Mental Organization. New York: Oxford Univ. Press, 1986.
47. Maddox WT. Toward a unified theory of decision criterion learning in perceptual categorization. J Exp Anal Behav 78: 567-595, 2002.
48. Mays LE, Sparks DL. Saccades are spatially, not retinocentrically, coded. Science 208: 1163-1165, 1980.
49. Merleau-Ponty M. Phenomenology of Perception. London: Routledge & Kegan Paul, 1962.
50. Moore T, Armstrong KM, Fallah M. Visuomotor origins of covert spatial attention. Neuron 40: 671-683, 2003.
51. Nakahara H, Itoh H, Kawagoe R, Takikawa Y, Hikosaka K. Dopamine neurons can represent context-dependent prediction error. Neuron 41: 269-280, 2004.
52. Newsome WT, Paré EB. A selective impairment of motion perception following lesions of the middle temporal visual area (MT). J Neurosci 8: 2201-2211, 1988.
53. O'Regan JK, Noe A. A sensorimotor account of vision and visual consciousness. Behav Brain Sci 24: 939-973, 2001.
54. Pasternak T, Merigan WH. Motion perception following lesions of the superior temporal sulcus in the monkey. Cereb Cortex 4: 247-259, 1994.
55. Pelli DG. The VideoToolbox software for visual psychophysics: transforming numbers into movies. Spat Vis 10: 437-442, 1997.
56. Platt ML. Neural correlates of decisions. Curr Opin Neurobiol 12: 141-148, 2002.
57. Rao RP. An optimal estimation approach to visual perception and learning. Vision Res 39: 1963-1989, 1999.
58. Ratcliff R, Van Zandt T, McKoon G. Connectionist and diffusion models of reaction time. Psychol Rev 106: 261-300, 1999.
59. Remington RJ. Analysis of sequential effects in choice reaction times. J Exp Psychol 82: 250-257, 1969.
60. Rieke F, Warland D, de Ruyter van Steveninck RR, Bialek W. Spikes: Exploring the Neural Code. Cambridge, MA: MIT Press, 1999.
61. Roitman JD, Shadlen MN. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J Neurosci 22: 9475-9489, 2002.
62. Rolls ET. The functions of the orbitofrontal cortex. Brain Cogn 55: 11-29, 2004.
63. Salzman CD, Britten KH, Newsome WT. Cortical microstimulation influences perceptual judgements of motion direction. Nature 346: 174-177, 1990.
64. Salzman CD, Murasugi CM, Britten KH, Newsome WT. Microstimulation in visual area MT: effects on direction discrimination performance. J Neurosci 12: 2331-2355, 1992.
65. Schlag J, Schlag-Rey M, Dassonville P. Interactions between natural and electrically evoked saccades. II. At what time is eye position sampled as a reference for the localization of a target? Exp Brain Res 76: 548-558, 1989.
66. Seo H, Lee D. Temporal filtering of reward signals in the dorsal anterior cingulate cortex during a mixed-strategy game. J Neurosci 27: 8366-8377, 2007.
67. Shadlen MN, Newsome WT. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J Neurophysiol 86: 1916-1936, 2001.
68. Shidara M, Richmond BJ. Anterior cingulate: single neuronal signals related to degree of reward expectancy. Science 296: 1709-1711, 2002.
69. Snyder LH, Batista AP, Andersen RA. Coding of intention in the posterior parietal cortex. Nature 386: 167-170, 1997.
70. Soetens E, Boer LC, Hueting JE. Expectancy or automatic facilitation? Separating sequential effects in two-choice reaction time. J Exp Psychol 11: 598-616, 1985.
71. Sternberg S. Separate modifiability, mental modules, and the use of pure and composite measures to reveal them. Acta Psychol (Amst) 106: 147-246, 2001.
72. Sugrue LP, Corrado GS, Newsome WT. Matching behavior and the representation of value in the parietal cortex. Science 304: 1782-1787, 2004.
73. Sutton RS, Barto AG. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press, 1998.
74. Tanji J, Hoshi E. Behavioral planning in the prefrontal cortex. Curr Opin Neurobiol 11: 164-170, 2001.
75. Tassinari H, Hudson TE, Landy MS. Combining priors and noisy visual cues in a rapid pointing task. J Neurosci 26: 10154-10163, 2006.
76. Tenenbaum JB, Griffiths TL. Generalization, similarity, and Bayesian inference. Behav Brain Sci 24: 629-640, 2001.
77. Tremblay L, Schultz W. Relative reward preference in primate orbitofrontal cortex. Nature 398: 704-708, 1999.
78. Vaughan W. Melioration, matching, and maximization. J Exp Anal Behav 36: 141-149, 1981.
79. Wichmann FA, Hill NJ. The psychometric function: I. Fitting, sampling, and goodness of fit. Percept Psychophys 63: 1293-1313, 2001.
80. Williams BA. Reinforcement, choice, and response strength. In: Stevens' Handbook of Experimental Psychology, edited by Atkinson RC, Herrnstein RJ, Lindzey RD, Luce RD. New York: Wiley, 1988, p. 167-244.