A neuro-computational model of economic decisions

Journal of Neurophysiology

Volumn 114, Issue 3, 2015, Pages 1382-1398

  Rustichini, Aldo ^a   Padoa Schioppa, Camillo ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Dynamic system; Good based decisions; Neural network; Neuroeconomics; Orbitofrontal cortex

Indexed keywords

ARTICLE; DECISION MAKING; FIRING RATE; INTERNEURON; MOVEMENT PERCEPTION; NERVE CELL; NONHUMAN; ORBITAL CORTEX; PREDICTION; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; SIMULATION; SYNAPTIC EFFICACY; WHITE NOISE; ANIMAL; BEHAVIORAL ECONOMICS; BIOLOGICAL MODEL; CLASSIFICATION; CYTOLOGY; ECONOMIC MODEL; HUMAN; PHYSIOLOGY; PREFRONTAL CORTEX;

ANIMALS; DECISION MAKING; ECONOMICS, BEHAVIORAL; HUMANS; MODELS, ECONOMIC; MODELS, NEUROLOGICAL; NEURONS; PREFRONTAL CORTEX;

EID: 84940705835     PISSN: 00223077     EISSN: 15221598     Source Type: Journal    
DOI: 10.1152/jn.00184.2015     Document Type: Article

References (50)

1. Abbott LF, Chance FS. Drivers and modulators from push-pull and balanced synaptic input. Prog Brain Res 149: 147-155, 2005.
2. Amemori K, Graybiel AM. Localized microstimulation of primate pregenual cingulate cortex induces negative decision-making. Nat Neurosci 15: 776-785, 2012.
3. Amit DJ, Brunel N. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex. Cereb Cortex 7: 237-252, 1997.
4. Ariely D, Loewenstein G, Prelec D. “Coherent arbitrariness”: stable demand curves without stable preferences. Q J Econ 118: 73-105, 2003.
5. Bartra O, McGuire JT, Kable JW. The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 76: 412-427, 2013.
6. 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.
7. Brunel N, Wang XJ. Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. J Comput Neurosci 11: 63-85, 2001.
8. Cai X, Kim S, Lee D. Heterogeneous coding of temporally discounted values in the dorsal and ventral striatum during intertemporal choice. Neuron 69: 170-182, 2011.
9. Cai X, Padoa-Schioppa C. Neuronal encoding of subjective value in dorsal and ventral anterior cingulate cortex. J Neurosci 32: 3791-3808, 2012.
10. Cai X, Padoa-Schioppa C. Contributions of orbitofrontal and lateral prefrontal cortices to economic choice and the good-to-action transformation. Neuron 81: 1140-1151, 2014.
11. Clithero JA, Rangel A. Informatic parcellation of the network involved in the computation of subjective value. Soc Cogn Affect Neurosci 9: 1289-1302, 2014.
12. Compte A, Brunel N, Goldman-Rakic PS, Wang XJ. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cereb Cortex 10: 910-923, 2000.
13. Drugowitsch J, Pouget A. Probabilistic vs. non-probabilistic approaches to the neurobiology of perceptual decision-making. Curr Opin Neurobiol 22: 963-969, 2012.
14. Engel TA, Wang XJ. Same or different? A neural circuit mechanism of similarity-based pattern match decision making. J Neurosci 31: 6982-6996, 2011.
15. Fellows LK. Orbitofrontal contributions to value-based decision making: evidence from humans with frontal lobe damage. Ann NY Acad Sci 1239: 51-58, 2011.
16. Fusi S, Asaad WF, Miller EK, Wang XJ. A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Gold JI, Shadlen MN. The neural basis of decision making. Annu Rev Neurosci 30: 535-574, 2007.
17. Grabenhorst F, Hernadi I, Schultz W. Prediction of economic choice by primate amygdala neurons. Proc Natl Acad Sci USA 109: 18950-18955, 2012.
18. Hare TA, Schultz W, Camerer CF, O’Doherty JP, Rangel A. Transformation of stimulus value signals into motor commands during simple choice. Proc Natl Acad Sci USA 108: 18120-18125, 2011.
19. Hunt LT, Kolling N, Soltani A, Woolrich MW, Rushworth MF, Behrens TE. Mechanisms underlying cortical activity during value-guided choice. Nat Neurosci 15: 470-476, 2012.
20. Jocham G, Hunt LT, Near J, Behrens TE. A mechanism for value-guided choice based on the excitation-inhibition balance in prefrontal cortex. Nat Neurosci 15: 960-961, 2012.
21. Kobayashi S, Pinto de Carvalho O, Schultz W. Adaptation of reward sensitivity in orbitofrontal neurons. J Neurosci 30: 534-544, 2010.
22. Krajbich I, Armel C, Rangel A. Visual fixations and the computation and comparison of value in simple choice. Nat Neurosci 13: 1292-1298, 2010.
23. Lau B, Glimcher PW. Value representations in the primate striatum during matching behavior. Neuron 58: 451-463, 2008.
24. Lee H, Ghim JW, Kim H, Lee D, Jung M. Hippocampal neural correlates for values of experienced events. J Neurosci 32: 15053-15065, 2012.
25. Mainen ZF, Kepecs A. Neural representation of behavioral outcomes in the orbitofrontal cortex. Curr Opin Neurobiol 19: 84-91, 2009.
26. Murray JD, Bernacchia A, Freedman DJ, Romo R, Wallis JD, Cai X, Padoa-Schioppa C, Pasternak T, Seo H, Lee D, Wang XJ. A hierarchy of intrinsic timescales across primate cortex. Nat Neurosci 17: 1661-1663, 2014.
27. Newsome WT. The King Solomon Lectures in Neuroethology. Deciding about motion: linking perception to action. J Comp Physiol A 181: 5-12, 1997.
28. Padoa-Schioppa C. Range-adapting representation of economic value in the orbitofrontal cortex. J Neurosci 29: 14004-14014, 2009.
29. Padoa-Schioppa C. Neurobiology of economic choice: a good-based model. Annu Rev Neurosci 34: 333-359, 2011.
30. Padoa-Schioppa C. Neuronal origins of choice variability in economic decisions. Neuron 80: 1322-1336, 2013.
31. Padoa-Schioppa C, Assad JA. Neurons in orbitofrontal cortex encode economic value. Nature 441: 223-226, 2006.
32. Padoa-Schioppa C, Assad JA. The representation of economic value in the orbitofrontal cortex is invariant for changes of menu. Nat Neurosci 11: 95-102, 2008.
33. Padoa-Schioppa C, Rustichini A. Rational attention and adaptive coding: a puzzle and a solution. Am Econ Rev 104: 507-513, 2014.
34. Parker AJ, Newsome WT. Sense and the single neuron: probing the physiology of perception. Annu Rev Neurosci 21: 227-277, 1998.
35. Raghuraman AP, Padoa-Schioppa C. Integration of multiple determinants in the neuronal computation of economic values. J Neurosci 34: 11583-11603, 2014.
36. Renart A, Brunel N, Wang X. Mean-field theory of recurrent cortical networks: from irregularly spiking neurons to working memory. In: Computational Neuroscience: A Comprehensive Approach, edited by Feng J. Boca Raton, FL: CRC, 2003.
37. Roesch MR, Singh T, Brown PL, Mullins SE, Schoenbaum G. Ventral striatal neurons encode the value of the chosen action in rats deciding between differently delayed or sized rewards. J Neurosci 29: 13365-13376, 2009.
38. Rudebeck PH, Murray EA. The orbitofrontal oracle: cortical mechanisms for the prediction and evaluation of specific behavioral outcomes. Neuron 84: 1143-1156, 2014.
39. Savage LJ. The Foundations of Statistics. New York: Dover, 1972.
40. Soltani A, Lee D, Wang XJ. Neural mechanism for stochastic behaviour during a competitive game. Neural Netw 19: 1075-1090, 2006.
41. Soltani A, Wang XJ. A biophysically based neural model of matching law behavior: melioration by stochastic synapses. J Neurosci 26: 3731-3744, 2006.
42. Soltani A, Wang XJ. Synaptic computation underlying probabilistic inference. Nat Neurosci 13: 112-119, 2010.
43. Strait CE, Blanchard TC, Hayden BY. Reward value comparison via mutual inhibition in ventromedial prefrontal cortex. Neuron 82: 1357-1366, 2014.
44. Sul JH, Kim H, Huh N, Lee D, Jung MW. Distinct roles of rodent orbitofrontal and medial prefrontal cortex in decision making. Neuron 66: 449-460, 2010.
45. Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science 211: 453-458, 1981.
46. Usher M, McClelland JL. The time course of perceptual choice: the leaky, competing accumulator model. Psychol Rev 108: 550-592, 2001.
47. Wallis JD. Cross-species studies of orbitofrontal cortex and value-based decision-making. Nat Neurosci 15: 13-19, 2011.
48. Wang XJ. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 36: 955-968, 2002.
49. Wong KF, Wang XJ. A recurrent network mechanism of time integration in perceptual decisions. J Neurosci 26: 1314-1328, 2006.
50. Wunderlich K, Rangel A, O’Doherty JP. Economic choices can be made using only stimulus values. Proc Natl Acad Sci USA 107: 15005-15010, 2010.