Choice, difficulty, and confidence in the brain

NeuroImage

Volumn 53, Issue 2, 2010, Pages 694-706

  Rolls, Edmund T ^a   Grabenhorst, Fabian ^b   Deco, Gustavo ^c  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Attractor network; Computational neuroscience; Confidence; Decision making; Emotion; FMRI; Medial prefrontal cortex area 10; Odor; Reaction time; Reward value; Task difficulty; Temperature

Indexed keywords

ARTICLE; BRAIN FUNCTION; BRAIN REGION; DECISION MAKING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; NERVE CELL; NERVE CELL STIMULATION; NEUROBIOLOGY; OLFACTORY DISCRIMINATION; ORBITAL CORTEX; PREDICTION; PREFRONTAL CORTEX; PRIORITY JOURNAL; PROBABILITY; REWARD; SPIKE WAVE; STIMULUS RESPONSE; SYNAPTIC TRANSMISSION; TACTILE STIMULATION; THERMAL STIMULATION;

ALPHA-AMINO-3-HYDROXY-5-METHYL-4-ISOXAZOLEPROPIONIC ACID; BRAIN; CHOICE BEHAVIOR; DECISION MAKING; ELECTROPHYSIOLOGICAL PHENOMENA; GAMMA-AMINOBUTYRIC ACID; HOT TEMPERATURE; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; N-METHYLASPARTATE; NEURAL NETWORKS (COMPUTER); OXYGEN; PREFRONTAL CORTEX; PSYCHOMOTOR PERFORMANCE; REACTION TIME; REWARD; SMELL; SYNAPSES;

EID: 77956056690     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.06.073     Document Type: Article

References (57)

1. Abeles M. Corticonics-neural circuits of the cerebral cortex 1991, Cambridge University Press, New York.
2. Albantakis L., Deco G. The encoding of alternatives in multiple-choice decision making. Proc. Natl Acad. Sci. USA 2009, 106:10308-10313.
3. Beck J.M., Ma W.J., Kiani R., Hanks T., Churchland A.K., Roitman J., Shadlen M.N., Latham P.E., Pouget A. Probabilistic population codes for Bayesian decision making. Neuron 2008, 60:1142-1152.
4. Behrens T.E., Woolrich M.W., Walton M.E., Rushworth M.F. Learning the value of information in an uncertain world. Nat. Neurosci. 2007, 10:1214-1221.
5. Brunel N., Wang X.J. Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J. Comput. Neurosci. 2001, 11:63-85.
6. Carpenter R.H.S., Williams M.L. Neural computation of log likelihood in control of saccadic eye movements. Nature 1995, 377:59-62.
7. Churchland A.K., Kiani R., Shadlen M.N. Decision-making with multiple alternatives. Nat. Neurosci. 2008, 11:693-702.
8. Collins D.L., Neelin P., Peters T.M., Evans A.C. Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space. J. Comput. Assist. Tomogr. 1994, 18:192-205.
9. Deco G., Rolls E.T. Attention, short-term memory, and action selection: a unifying theory. Prog. Neurobiol. 2005, 76:236-256.
10. Deco G., Rolls E.T. Decision-making and Weber's Law: a neurophysiological model. Eur. J. Neurosci. 2006, 24:901-916.
11. Deco G., Scarano L., Soto-Faraco S. Weber's law in decision making: integrating behavioral data in humans with a neurophysiological model. J. Neurosci. 2007, 27:11192-11200.
12. Deco G., Rolls E.T., Romo R. Stochastic dynamics as a principle of brain function. Prog. Neurobiol. 2009, 88:1-16.
13. Friston K.J., Worsley K.J., Frackowiak R.S.J., Mazziotta J.C., Evans A.C. Assessing the significance of focal activations using their spatial extent. Hum. Brain Mapp. 1994, 1:214-220.
14. Friston K.J., Glaser D.E., Henson R.N., Kiebel S., Phillips C., Ashburner J. Classical and Bayesian inference in neuroimaging: applications. Neuroimage 2002, 16:484-512.
15. Furman M., Wang X.J. Similarity effect and optimal control of multiple-choice decision making. Neuron 2008, 60:1153-1168.
16. Genovese C.R., Lazar N.A., Nichols T. Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 2002, 15:870-878.
17. Glimcher P.W. The neurobiology of visual-saccadic decision making. Annu. Rev. Neurosci. 2003, 26:133-179.
18. Gold J.I., Shadlen M.N. Banburismus and the brain: decoding the relationship between sensory stimuli, decisions, and reward. Neuron 2002, 36:299-308.
19. Gold J.I., Shadlen M.N. The neural basis of decision making. Annu. Rev. Neurosci. 2007, 30:535-574.
20. Goldman-Rakic P.S. Cellular basis of working memory. Neuron 1995, 14:477-485.
21. Grabenhorst F., Rolls E.T., Parris B.A. From affective value to decision-making in the prefrontal cortex. Eur. J. Neurosci. 2008, 28:1930-1939.
22. Hampton A.N., O'Doherty J.P. Decoding the neural substrates of reward-related decision making with functional MRI. Proc. Natl Acad. Sci. USA 2007, 104:1377-1382.
23. 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.
24. Heekeren H.R., Marrett S., Ungerleider L.G. The neural systems that mediate human perceptual decision making. Nat. Rev. Neurosci. 2008, 9:467-479.
25. Insabato A., Pannunzi M., Rolls E.T., Deco G. Confidence-related decision-making. J. Neurophysiol. 2010, 104:539-547.
26. Jonsson F.U., Olsson H., Olsson M.J. Odor emotionality affects the confidence in odor naming. Chem. Senses 2005, 30:29-35.
27. Kepecs A., Uchida N., Zariwala H.A., Mainen Z.F. Neural correlates, computation and behavioural impact of decision confidence. Nature 2008, 455:227-231.
28. Kiani R., Shadlen M.N. Representation of confidence associated with a decision by neurons in the parietal cortex. Science 2009, 324:759-764.
29. Kiebel S.J., Poline J.B., Friston K.J., Holmes A.P., Worsley K.J. Robust smoothness estimation in statistical parametric maps using standardized residuals from the general linear model. NeuroImage 1999, 10:756-766.
30. Kim J.N., Shadlen M.N. Neural correlates of a decision in the dorsolateral prefrontal cortex of the macaque. Nat. Neurosci. 1999, 2:176-185.
31. Knutson B., Rick S., Wimmer G.E., Prelec D., Loewenstein G. Neural predictors of purchases. Neuron 2007, 53:147-156.
32. Ma W.J., Beck J.M., Latham P.E., Pouget A. Bayesian inference with probabilistic population codes. Nat. Neurosci. 2006, 9:1432-1438.
33. Ma W.J., Beck J.M., Pouget A. Spiking networks for Bayesian inference and choice. Curr. Opin. Neurobiol. 2008, 18:217-222.
34. Marsh A.A., Blair K.S., Vythilingam M., Busis S., Blair R.J. Response options and expectations of reward in decision-making: the differential roles of dorsal and rostral anterior cingulate cortex. Neuroimage 2007, 35:979-988.
35. Marti D., Deco G., Mattia M., Gigante G., Del Giudice P. A fluctuation-driven mechanism for slow decision processes in reverberant networks. PLoS ONE 2008, 3:e2534.
36. Price J.L. Connections of orbital cortex. The Orbitofrontal Cortex 2006, 39-55. Oxford University Press, Oxford. D.H. Zald, S.L. Rauch (Eds.).
37. Ratcliff R., Van Zandt T., McKoon G. Connectionist and diffusion models of reaction time. Psychological Reviews 1999, 106:261-300.
38. Rolls E.T. Memory, Attention, and Decision-Making: A Unifying Computational Neuroscience Approach 2008, Oxford University Press, Oxford.
39. Rolls E.T., Deco G. Computational Neuroscience of Vision 2002, Oxford University Press, Oxford.
40. Rolls E.T., Deco G. The Noisy Brain: Stochastic Dynamics as a Principle of Brain Function 2010, Oxford University Press, Oxford.
41. Rolls E.T., Grabenhorst F. The orbitofrontal cortex and beyond: from affect to decision-making. Prog. Neurobiol. 2008, 86:216-244.
42. Rolls E.T., Grabenhorst F., Parris B.A. Neural systems underlying decisions about affective odors. J. Cogn. Neurosci. 2010, 22:1069-1082.
43. Romo R., Salinas E. Flutter discrimination: neural codes, perception, memory and decision making. Nat. Rev. Neurosci. 2003, 4:203-218.
44. Romo R., Hernandez A., Zainos A. Neuronal correlates of a perceptual decision in ventral premotor cortex. Neuron 2004, 41:165-173.
45. Roxin A., Ledberg A. Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation. PLoS Comput. Biol. 2008, 4:e1000046.
46. Shadlen M.N., Newsome W.T. Motion perception: seeing and deciding. Proc. Natl Acad. Sci. USA 1996, 93:628-633.
47. Shadlen M.N., Newsome W.T. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 2001, 86:1916-1936.
48. Smith P.L., Ratcliff R. Psychology and neurobiology of simple decisions. Trends Neurosci. 2004, 27:161-168.
49. Stephan K.E., Weiskopf N., Drysdale P.M., Robinson P.A., Friston K.J. Comparing hemodynamic models with DCM. Neuroimage 2007, 38:387-401.
50. Sugrue L.P., Corrado G.S., Newsome W.T. Choosing the greater of two goods: neural currencies for valuation and decision making. Nat. Rev. Neurosci. 2005, 6:363-375.
51. Thorpe S.J., Rolls E.T., Maddison S. Neuronal activity in the orbitofrontal cortex of the behaving monkey. Exp. Brain Res. 1983, 49:93-115.
52. Usher M., McClelland J.L. The time course of perceptual choice: the leaky, competing accumulator model. Psychological Reviews 2001, 108:550-592.
53. Vickers D. Decision Processes in Visual Perception 1979, Academic Press, New York.
54. Vickers D., Packer J. Effects of alternating set for speed or accuracy on response time, accuracy and confidence in a unidimensional discrimination task. Acta Psychol. 1982, 50:179-197.
55. Wang X.J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 2002, 36:955-968.
56. Wang X.J. Decision making in recurrent neuronal circuits. Neuron 2008, 60:215-234.
57. Worsley K.J., Marrett P., Neelin A.C., Friston K.J., Evans A.C. A unified statistical approach for determining significant signals in images of cerebral activation. Hum. Brain Mapp. 1996, 4:58-73.