Decision making by urgency gating: Theory and experimental support

Journal of Neurophysiology

Volumn 108, Issue 11, 2012, Pages 2912-2930

  Thura, David ^a   Beauregard Racine, Julie ^a   Fradet, Charles William ^a   Cisek, Paul ^a  

^a UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

Human; Model; Optimality; Reward rate; Sensory information processing; Speed accuracy trade off

Indexed keywords

ACCURACY; ARTICLE; DECISION MAKING; ENVIRONMENTAL CHANGE; MATHEMATICAL MODEL; MOTION; NEUROTRANSMISSION; POLICY; PRIORITY JOURNAL; REWARD; SENSORY GATING; TASK PERFORMANCE;

DECISION MAKING; ENVIRONMENT; HUMANS; MODELS, NEUROLOGICAL; REWARD; SENSATION; SENSORY GATING;

EID: 84870500216     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.01071.2011     Document Type: Article

References (66)

1. Alexander GE, Crutcher MD, DeLong MR. Basal ganglia-thalamocortical circuits: parallel substrates for motor, oculomotor, "prefrontal" and "limbic" functions. Prog Brain Res 85: 119-146, 1990.
2. Balci F, Simen P, Niyogi R, Saxe A, Hughes JA, Holmes P, Cohen JD. Acquisition of decision making criteria: reward rate ultimately beats accuracy. Atten Percept Psychophys 73: 640-657, 2011.
3. Bennur S, Gold JI. Distinct representations of a perceptual decision and the associated oculomotor plan in the monkey lateral intraparietal area. J Neurosci 31: 913-921, 2011.
4. Bogacz R. Optimal decision-making theories: linking neurobiology with behaviour. Trends Cogn Sci 11: 118-125, 2007.
5. Bogacz R, Brown E, Moehlis J, Holmes P, Cohen JD. The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychol Rev 113: 700-765, 2006.
6. Bogacz R, Gurney K. The basal ganglia and cortex implement optimal decision making between alternative actions. Neural Comput 19: 442-477, 2007.
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. Britten KH, Shadlen MN, Newsome WT, Movshon JA. Responses of neurons in macaque MT to stochastic motion signals. Vis Neurosci 10: 1157-1169, 1993.
9. Burr DC, Santoro L. Temporal integration of optic flow, measured by contrast and coherence thresholds. Vision Res 41: 1891-1899, 2001.
10. Carpenter RH, Reddi BA, Anderson AJ. A simple two-stage model predicts response time distributions. J Physiol 587: 4051-4062, 2009.
11. Carpenter RH, Williams ML. Neural computation of log likelihood in control of saccadic eye movements. Nature 377: 59-62, 1995.
12. Chittka L, Skorupski P, Raine NE. Speed-accuracy tradeoffs in animal decision making. Trends Ecol Evol 24: 400-407, 2009.
13. Churchland AK, Kiani R, Chaudhuri R, Wang XJ, Pouget A, Shadlen MN. Variance as a signature of neural computations during decision making. Neuron 69: 818-831, 2011.
14. Churchland AK, Kiani R, Shadlen MN. Decision-making with multiple alternatives. Nat Neurosci 11: 693-702, 2008.
15. Churchland MM, Yu BM, Cunningham JP, Sugrue LP, Cohen MR, Corrado GS, Newsome WT, Clark AM, Hosseini P, Scott BB, Bradley DC, Smith MA, Kohn A, Movshon JA, Armstrong KM, Moore T, Chang SW, Snyder LH, Lisberger SG, Priebe NJ, Finn IM, Ferster D, Ryu SI, Santhanam G, Sahani M, Shenoy KV. Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nat Neurosci 13: 369-378, 2010.
16. Cisek P, Puskas GA, El-Murr S. Decisions in changing conditions: the urgency-gating model. J Neurosci 29: 11560-11571, 2009.
17. Cook EP, Maunsell JH. Dynamics of neuronal responses in macaque MT and VIP during motion detection. Nat Neurosci 5: 985-994, 2002.
18. Desmurget M, Turner RS. Motor sequences and the basal ganglia: kinematics, not habits. J Neurosci 30: 7685-7690, 2010.
19. Ditterich J. Evidence for time-variant decision making. Eur J Neurosci 24: 3628-3641, 2006a.
20. Ditterich J. Stochastic models of decisions about motion direction: behavior and physiology. Neural Netw 19: 981-1012, 2006b.
21. Drugowitsch J, Moreno-Bote R, Churchland AK, Shadlen MN, Pouget A. The cost of accumulating evidence in perceptual decision making. J Neurosci 32: 3612-3628, 2012.
22. Genovesio A, Tsujimoto S, Wise SP. Neuronal activity related to elapsed time in prefrontal cortex. J Neurophysiol 95: 3281-3285, 2006.
23. Ghose GM. Strategies optimize the detection of motion transients. J Vis 6: 429-440, 2006.
24. 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.
25. Gold JI, Shadlen MN. The neural basis of decision making. Annu Rev Neurosci 30: 535-574, 2007.
26. Gold JI, Shadlen MN. Representation of a perceptual decision in developing oculomotor commands. Nature 404: 390-394, 2000.
27. Grossberg S, Pilly PK. Temporal dynamics of decision-making during motion perception in the visual cortex. Vision Res 48: 1345-1373, 2008.
28. Hanes DP, Schall JD. Neural control of voluntary movement initiation. Science 274: 427-430, 1996.
29. Hanks TD, Mazurek ME, Kiani R, Hopp E, Shadlen MN. Elapsed decision time affects the weighting of prior probability in a perceptual decision task. J Neurosci 31: 6339-6352, 2011.
30. Horak FB, Anderson ME. Influence of globus pallidus on arm movements in monkeys. I. Effects of kainic acid-induced lesions. J Neurophysiol 52: 290-304, 1984.
31. Huk AC, Shadlen MN. Neural activity in macaque parietal cortex reflects temporal integration of visual motion signals during perceptual decision making. J Neurosci 25: 10420-10436, 2005.
32. Janssen P, Shadlen MN. A representation of the hazard rate of elapsed time in macaque area LIP. Nat Neurosci 8: 234-241, 2005.
33. 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.
34. Kim JN, Shadlen MN. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat Neurosci 2: 176-185, 1999.
35. Leon MI, Shadlen MN. Representation of time by neurons in the posterior parietal cortex of the macaque. Neuron 38: 317-327, 2003.
36. Ludwig CJ, Gilchrist ID, McSorley E, Baddeley RJ. The temporal impulse response underlying saccadic decisions. J Neurosci 25: 9907-9912, 2005.
37. Luna R, Hernandez A, Brody CD, Romo R. Neural codes for perceptual discrimination in primary somatosensory cortex. Nat Neurosci 8: 1210-1219, 2005.
38. Maimon G, Assad JA. A cognitive signal for the proactive timing of action in macaque LIP. Nat Neurosci 9: 948-955, 2006.
39. Mazurek ME, Roitman JD, Ditterich J, Shadlen MN. A role for neural integrators in perceptual decision making. Cereb Cortex 13: 1257-1269, 2003.
40. Mazzoni P, Hristova A, Krakauer JW. Why don't we move faster? Parkinson's disease, movement vigor, and implicit motivation. J Neurosci 27: 7105-7116, 2007.
41. Mita A, Mushiake H, Shima K, Matsuzaka Y, Tanji J. Interval time coding by neurons in the presupplementary and supplementary motor areas. Nat Neurosci 12: 502-507, 2009.
42. Nawrot MP, Boucsein C, Rodriguez Molina V, Riehle A, Aertsen A, Rotter S. Measurement of variability dynamics in cortical spike trains. J Neurosci Methods 169: 374-390, 2008.
43. Palmer J, Huk AC, Shadlen MN. The effect of stimulus strength on the speed and accuracy of a perceptual decision. J Vis 5: 376-404, 2005.
44. Price NS, Born RT. Timescales of sensory- and decision-related activity in the middle temporal and medial superior temporal areas. J Neurosci 30: 14036-14045, 2010.
45. Ratcliff R. A diffusion model account of response time and accuracy in a brightness discrimination task: fitting real data and failing to fit fake but plausible data. Psychon Bull Rev 9: 278-291, 2002.
46. Ratcliff R. Putting noise into neurophysiological models of simple decision making. Nature Neuroscience 4: 336, 2001.
47. Ratcliff R. A theory of memory retrieval. Psychol Rev 85: 59-108, 1978.
48. Ratcliff R, Gomez P, McKoon G. A diffusion model account of the lexical decision task. Psychol Rev 111: 159-182, 2004.
49. Ratcliff R, Hasegawa YT, Hasegawa RP, Smith PL, Segraves MA. Dual diffusion model for single-cell recording data from the superior colliculus in a brightness-discrimination task. J Neurophysiol 97: 1756-1774, 2007.
50. Reddi BA. Decision making: the two stages of neuronal judgement. Curr Biol 11: R603-606, 2001.
51. Reddi BA, Carpenter RH. The influence of urgency on decision time. Nat Neurosci 3: 827-830, 2000.
52. Renoult L, Roux S, Riehle A. Time is a rubberband: neuronal activity in monkey motor cortex in relation to time estimation. Eur J Neurosci 23: 3098-3108, 2006.
53. 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.
54. Shadmehr R, Orban de Xivry JJ, Xu-Wilson M, Shih TY. Temporal discounting of reward and the cost of time in motor control. J Neurosci 30: 10507-10516, 2010.
55. Smith PL, Ratcliff R. Psychology and neurobiology of simple decisions. Trends Neurosci 27: 161-168, 2004.
56. Standage D, You H, Wang DH, Dorris MC. Gain modulation by an urgency signal controls the speed-accuracy trade-off in a network model of a cortical decision circuit. Front Comput Neurosci 5: 7, 2011.
57. Stanford TR, Shankar S, Massoglia DP, Costello MG, Salinas E. Perceptual decision making in less than 30 milliseconds. Nat Neurosci 13: 379-385, 2010.
58. Thura D, Cisek P. Human perceptual decisions in noisy, changing conditions (Abstract). Soc Neurosci Abstr 576.3: 2009.
59. Trimmer PC, Houston AI, Marshall JA, Bogacz R, Paul ES, Mendl MT, McNamara JM. Mammalian choices: combining fast-but-inaccurate and slow-but-accurate decision-making systems. Proc Biol Sci 275: 2353-2361, 2008.
60. Uchida N, Kepecs A, Mainen ZF. Seeing at a glance, smelling in a whiff: rapid forms of perceptual decision making. Nat Rev Neurosci 7: 485-491, 2006.
61. Usher M, McClelland JL. The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108: 550-592, 2001.
62. Wald A. Sequential tests of statistical hypotheses. Ann Math Stat 16: 117-186, 1945.
63. Wald A, Wolfowitz J. Optimum character of the sequential probability ratio test. Ann Math Stat 19: 326-329, 1948.
64. Wong KF, Wang XJ. A recurrent network mechanism of time integration in perceptual decisions. J Neurosci 26: 1314-1328, 2006.
65. Yang T, Shadlen MN. Probabilistic reasoning by neurons. Nature 447: 1075-1080, 2007.
66. Yang Y, DeWeese MR, Otazu GH, Zador AM. Millisecond-scale differences in neural activity in auditory cortex can drive decisions. Nat Neurosci 11: 1262-1263, 2008.