Similarity Effect and Optimal Control of Multiple-Choice Decision Making

Neuron

Volumn 60, Issue 6, 2008, Pages 1153-1168

  Furman, Moran ^a   Wang, Xiao Jing ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

MOLNEURO; SYSBIO; SYSNEURO

Indexed keywords

ACCURACY; ARTICLE; COGNITION; COMPUTER SIMULATION; DECISION MAKING; MONKEY; MOTION; NEUROPHYSIOLOGY; PRIORITY JOURNAL; STOCHASTIC MODEL; VELOCITY;

ACTION POTENTIALS; ALPHA-AMINO-3-HYDROXY-5-METHYL-4-ISOXAZOLEPROPIONIC ACID; ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; DECISION MAKING; DISCRIMINATION (PSYCHOLOGY); EXCITATORY AMINO ACID AGONISTS; MODELS, NEUROLOGICAL; MOTION PERCEPTION; NERVE NET; NEURAL NETWORKS (COMPUTER); NEURONAL PLASTICITY; NEURONS; NONLINEAR DYNAMICS; REACTION TIME; SYNAPSES; TIME FACTORS;

EID: 57649239927     PISSN: 08966273     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuron.2008.12.003     Document Type: Article

References (70)

1. Ashby F.G., and Perrin N.A. Toward a unified theory of similarity and recognition. Psychol. Rev. 95 (1988) 124-150
2. Bartos M., Vida I., Frotscher M., Geiger J.R.P., and Jonas P. Rapid signaling at inhibitory synapses in a dentate gyrus interneuron network. J. Neurosci. 21 (2001) 2687-2698
3. Basso M.A., and Wurtz R.H. Modulation of neuronal activity in superior colliculus by changes in target probability. J. Neurosci. 18 (1998) 7519-7534
4. Beck J.M., Ma W.J., Kiani R., Hanks T., Churchland A.K., Roitman J., Shadlen M.N., Latham P.E., and Pouget A. Probabilistic population codes for Bayesian decision making. Neuron 60 (2008) 1142-1152 this issue
5. Ben-Yishai R., Bar-Or R.L., and Sompolinsky H. Theory of orientation tuning in visual cortex. Proc. Natl. Acad. Sci. USA 92 (1995) 3844-3848
6. Bogacz R., Brown E., Moehlis J., Holmes P., and Cohen J.D. The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced choice tasks. Psychol. Rev. 113 (2006) 700-765
7. Bogacz R., Usher M., Zhang J., and McClelland J.L. Extending a biologically inspired model of choice: multi-alternatives, nonlinearity and value-based multidimensional choice. Philos. Trans. R Soc. Lond. B Biol. Sci. 362 (2007) 1655-1670
8. Britten K.H., and Newsome W.T. Tuning bandwidths for near-threshold stimuli in Area MT. J. Neurophysiol. 80 (1998) 762-770
9. Britten K.H., Shadlen M.N., Newsome W.T., and Movshon J.A. Responses of neurons in macaque MT to stochastic motion signals. Vis. Neurosci. 10 (1993) 1157-1169
10. Camperi M., and Wang X.-J. A model of visuospatial working memory in prefrontal cortex: recurrent network and cellular bistability. J. Comput. Neurosci. 5 (1998) 383-405
11. Carter E., and Wang X.-J. Cannabinoid-mediated disinhibition and working memory: dynamical interplay of multiple feedback mechanisms in a continuous attractor model of prefrontal cortex. Cereb. Cortex 17 (2007) i16-i26
12. Chafee M.V., and Goldman-Rakic P.S. Matching patterns of activity in primate prefrontal area 8a and parietal area 7ip neurons during a spatial working memory task. J. Neurophysiol. 79 (1998) 2919-2940
13. Churchland A.K., Kiani R., and Shadlen M.N. Decision-making with multiple alternatives. Nat. Neurosci. 11 (2008) 693-702
14. Cisek P. Integrated neural processes for defining potential actions and deciding between them: a computational model. J. Neurosci. 26 (2006) 9761-9770
15. Cisek P., and Kalaska J.F. Neural correlates of reaching decisions in dorsal premotor cortex: specification of multiple direction choices and final selection of action. Neuron 45 (2005) 801-814
16. Compte A., Brunel N., Goldman-Rakic P.S., and Wang X.-J. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cereb. Cortex 10 (2000) 910-923
17. Deco G., and Rolls E.T. Decision-making and Weber's law: a neurophysiological model. Eur. J. Neurosci. 24 (2006) 901-916
18. Ditterich J. Evidence for time-variant decision making. Eur. J. Neurosci. 24 (2006) 3628-3641
19. Douglas R.J., and Martin K.A.C. Neuronal circuits of the neocortex. Annu. Rev. Neurosci. 27 (2007) 419-451
20. Erlhagen W., and Schöner G. Dynamic field theory of movement preparation. Psychol. Rev. 109 (2002) 545-572
21. Frank M.J., and Claus E.D. Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. Psychol. Rev. 113 (2006) 300-326
22. Funahashi S., Bruce C.J., and Goldman-Rakic P.S. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. J. Neurophysiol. 61 (1989) 331-349
23. Ganguli S., Bisley J.W., Roitman J.D., Shadlen M.N., Goldberg M.E., and Miller K.D. One-dimensional dynamics of attention and decision making in LIP. Neuron 58 (2008) 15-25
24. Glimcher P.W. The neurobiology of visual-saccadic decision making. Annu. Rev. Neurosci. 26 (2003) 133-179
25. Gnadt J.W., and Andersen R.A. Memory related motor planning activity in posterior parietal cortex of macaque. Exp. Brain Res. 70 (1988) 216-220
26. Gold J.I., and Shadlen M.N. Banburismus and the brain: Decoding the relationship between sensory stimuli, decisions, and reward. Neuron 36 (2002) 299-308
27. Gold J.I., and Shadlen M.N. The neural basis of decision making. Annu. Rev. Neurosci. 30 (2007) 535-574
28. Goldman-Rakic P.S. Cellular basis of working memory. Neuron 14 (1995) 477-485
29. Grossberg S., and Pilly P.K. Temporal dynamics of decision-making during motion perception in the visual cortex. Vision Res. 48 (2008) 1345-1373
30. Hale D.J. Speed-error trade-off in a three-choice serial reaction task. J. Exp. Psychol. 81 (1969) 428-435
31. Heekeren H.R., Marrett S., and Ungerleider L.G. The neural systems that mediate human perceptual decision making. Nat. Rev. Neurosci. 9 (2008) 467-479
32. Hick W.E. On the rate of gain of information. Q. J. Exp. Psychol. 4 (1952) 11-26
33. Hol K., and Treue S. Different populations of neurons contribute to the detection and discrimination of visual motion. Vision Res. 41 (2001) 685-689
34. Huk A.C., and Shadlen M.N. Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making. J. Neurosci. 25 (2005) 10420-10436
35. Jahr C.E., and Stevens C.F. Voltage dependence of NMDA-activated macroscopic conductances predicted by single-channel kinetics. J. Neurosci. 10 (1990) 3178-3182
36. Jazayeri M., and Movshon J.A. Precision pooling predicts primate perceptual performance. Nat. Neurosci. 9 (2006) 690-696
37. Kahana M.J., and Bennett P.J. Classification and perceived similarity of compound gratings that differ in relative spatial phase. Percept. Psychophys. 55 (1994) 642-656
38. Kiani R., Hanks T.D., and Shadlen M.N. Bounded integration in parietal cortex underlies decisions even when viewing duration is dictated by the environment. J. Neurosci. 28 (2008) 3017-3029
39. Kim J.N., and Shadlen M.N. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat. Neurosci. 2 (1999) 176-185
40. Lo C.-C., and Wang X.-J. Cortico-basal ganglia circuit mechanism for a decision threshold in reaction time tasks. Nat. Neurosci. 9 (2006) 956-963
41. Luce R.D. Response Times: Their Role in Inferring Elementary Mental Organization (1986), Oxford University Press, New York
42. Ma W.J., Beck J.M., Latham P.E., and Pouget A. Bayesian inference with probabilistic population codes. Nat. Neurosci. 9 (2006) 1432-1438
43. Machens C.K., Romo R., and Brody C.D. Flexible control of mutual inhibition: A neural model of two-interval discrimination. Science 307 (2005) 1121-1124
44. Markram H., Lubke J., Frotscher M., Roth A., and Sakmann B. Physiology and anatomy of synaptic connections between thick tufted pyramidal neurones in the developing rat neocortex. J. Physiol. 500 (1997) 409-440
45. McMillen T., and Holmes P. The dynamics of choice among multiple alternatives. J. Math. Psychol. 50 (2006) 30-57
46. Niwa M., and Ditterich J. Perceptual decisions between multiple directions of visual motion. J. Neurosci. 28 (2008) 4435-4445
47. Nosofsky R.M. Attention, similarity, and the identification-categorization relationship. J. Exp. Psychol. Gen. 115 (1986) 39-57
48. Nosofsky R.M. An exemplar-based random walk model of speeded categorization and absolute judgment. In: Marley A.A.J. (Ed). Choice, Decision, and Measurement: Essays in Honor of R. Duncan Luce (1997), Cambridge University Press, New York 21-59
49. Palmer J., Huk A.C., and Shadlen M.N. The effect of stimulus strength on the speed and accuracy of a perceptual decision. J. Vis. 5 (2005) 373-404
50. Purushothaman G., and Bradley D.C. Neural population code for fine perceptual decisions in area MT. Nat. Neurosci. 8 (2005) 99-106
51. Ratcliff R. A theory of memory retrieval. Psychol. Rev. 85 (1978) 59-108
52. Reddi B.A.J., and Carpenter R.H.S. The influence of urgency on decision time. Nat. Neurosci. 3 (2000) 827-830
53. Renart A., Song P., and Wang X.-J. Robust spatial working memory through homeostatic synaptic scaling in heterogeneous cortical networks. Neuron 38 (2003) 473-485
54. Roitman J.D., and Shadlen M.N. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J. Neurosci. 22 (2002) 9475-9489
55. Romo R., Merchant H., Zainos A., and Hernandez A. Categorical perception of somesthetic stimuli: Psychophysical measurements correlated with neuronal events in primate medial premotor cortex. Cereb. Cortex 7 (1997) 317-326
56. Sato T., and Schall J.D. Pre-excitatory pause in frontal eye field responses. Exp. Brain Res. 139 (2001) 53-58
57. Schall J.D., and Hanes D.P. Neural basis of saccade target selection in frontal eye field during visual search. Nature 366 (1993) 467-469
58. Shadlen M.N., and Newsome W.T. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 86 (2001) 1916-1936
59. Tegner J., Compte A., and Wang X.-J. The dynamical stability of reverberatory neural circuits. Biol. Cybern. 87 (2002) 471-481
60. Tuckwell H.C. Introduction to Theoretical Neurobiology (1988), Cambridge University Press, New York
61. Tversky A. Features of similarity. Psychol. Rev. 84 (1977) 327-352
62. Usher M., and McClelland J.L. The time course of perceptual choice: The leaky, competing accumulator model. Psychol. Rev. 108 (2001) 550-592
63. Usher M., Olami Z., and McClelland J.L. Hick's law in a stochastic race model with speed-accuracy tradeoff. J. Math. Psychol. 46 (2002) 704-715
64. Wang X.-J. Synaptic basis of cortical persistent activity: The importance of NMDA receptors to working memory. J. Neurosci. 19 (1999) 9587-9603
65. Wang X.-J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36 (2002) 955-968
66. Wang X.-J. Decision making in recurrent neuronal circuits. Neuron 60 (2008) 215-234
67. Wang X.-J., Tegner J., Constantinidis C., and Goldman-Rakic P. Division of labor among distinct subtypes of inhibitory neurons in a cortical microcircuit of working memory. Proc. Natl. Acad. Sci. USA 101 (2004) 1368-1373
68. Wickelgren W.A. Speed-accuracy tradeoff and information processing dynamics. Acta Psychol. (Amst.) 41 (1977) 67-85
69. Wong K.-F., and Wang X.-J. A recurrent network mechanism of time integration in perceptual decisions. J. Neurosci. 26 (2006) 1314-1328
70. Wong K.-F., Huk A.C., Shadlen M.N., and Wang X.-J. Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. Frontiers in Computational Neuroscience 1 (2007) 1-11