The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints

Published Online:https://doi.org/10.1287/mnsc.2019.3536

References

  • Alonso R, Brocas I, Carrillo JD (2014) Resource allocation in the brain. Rev. Econom. Stud. 81(2):501–534.CrossrefGoogle Scholar
  • Ballé J, Laparra V, Simoncelli EP (2016a) Density modeling of images using a generalized normalization transformation. Preprint, submitted February 29, https://arxiv.org/abs/1511.06281.Google Scholar
  • Ballé J, Laparra V, Simoncelli EP (2016b) End-to-end optimized image compression. Preprint, submitted November 5, https://arxiv.org/abs/1611.01704.Google Scholar
  • Barlow HB (1961) Possible principles underlying the transformation of sensory messages.Rosenblith WA, ed., Sensory Communication (MIT Press, Cambridge, MA).Google Scholar
  • Bartra O, McGuire JT, Kable JW (2013) The valuation system: A coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value. Neuroimage 76:412–427.CrossrefGoogle Scholar
  • Basso MA, Wurtz RH (1997) Modulation of neuronal activity by target uncertainty. Nature 389(6646):66–69.CrossrefGoogle Scholar
  • Basten U, Biele G, Heekeren HR, Fiebach CJ (2010) How the brain integrates costs and benefits during decision making. Proc. Natl. Acad. Sci. USA 107(50):21767–21772.CrossrefGoogle Scholar
  • Becker GM, DeGroot MH, Marschak J (1964) Measuring utility by a single-response sequential method. Behav. Sci. 9(3):226–232.CrossrefGoogle Scholar
  • Bernheim BD (2009) On the potential of neuroeconomics: A critical (but hopeful) appraisal. Amer. Econom. J. Microeconom. 1(2):1–41.CrossrefGoogle Scholar
  • Bhatia S, Stewart N (2018) Naturalistic multiattribute choice. Cognition 179:71–88.CrossrefGoogle Scholar
  • Bhui R, Gershman S (2018) Decision by sampling implements efficient coding of psychoeconomic functions. Psych. Rev. 125(6):985–1001.CrossrefGoogle Scholar
  • Block HD, Marschak J (1959) Random orderings and stochastic theories of responses. Discussion Paper 66, Cowles Foundation for Research in Economics, Yale University, New Haven, CT.Google Scholar
  • Bogacz R, Wagenmakers EJ, Forstmann BU, Nieuwenhuis S (2010) The neural basis of the speed-accuracy tradeoff. Trends Neurosci. 33(1):10–16.CrossrefGoogle Scholar
  • Bushong B, Schwartzstein J, Rabin M (2019) A model of relative thinking. Working paper, Michigan State University, East Lansing, MI.Google Scholar
  • Cai X, Padoa-Schioppa C (2014) Contributions of orbitofrontal and lateral prefrontal cortices to economic choice and the good-to-action transformation. Neuron 81(5):1140–1151.CrossrefGoogle Scholar
  • Camara E, Rodriguez-Fornells A, Ye Z, Münte TF (2009) Reward networks in the brain as captured by connectivity measures. Front. Neurosci. 3(3):350–362.CrossrefGoogle Scholar
  • Camille N, Griffiths CA, Vo K, Fellows LK, Kable JW (2011) Ventromedial frontal lobe damage disrupts value maximization in humans. J. Neurosci. 31(20):7527–7532.CrossrefGoogle Scholar
  • Caplin A, Dean M (2015) Revealed preference, rational inattention, and costly information acquisition. Amer. Econom. Rev. 105(7):2183–2203.CrossrefGoogle Scholar
  • Carandini M, Heeger DJ (2012) Normalization as a canonical neural computation. Nat. Rev. Neurosci. 13(1):51–62.CrossrefGoogle Scholar
  • Carandini M, Heeger DJ, Movshon JA (1997) Linearity and Normalization in Simple Cells of the Macaque Primary Visual Cortex. J. Neurosci. 17(21):8621–8644.CrossrefGoogle Scholar
  • Carmichael ST, Price JL (1996) Connectional networks within the orbital and medial prefrontal cortex of macaque monkeys. J. Comp. Neurol. 371(2):179–207.CrossrefGoogle Scholar
  • Chau BKH, Kolling N, Hunt LT, Walton ME, Rushworth MFS (2014) A neural mechanism underlying failure of optimal choice with multiple alternatives. Nat. Neurosci. 17(3):463–470.CrossrefGoogle Scholar
  • Chib VS, Rangel A, Shimojo S, O’Doherty JP (2009) Evidence for a common representation of decision values for dissimilar goods in human ventromedial prefrontal cortex. J. Neurosci. 29(39):12315–12320.CrossrefGoogle Scholar
  • Churchland AK, Kiani R, Chaudhuri R, Wang XJ, Pouget A, Shadlen MN (2011) Variance as a signature of neural computations during decision making. Neuron 69(4):818–831.CrossrefGoogle Scholar
  • Cisek P (2012) Making decisions through a distributed consensus. Curr. Opin. Neurobiol. 22(6):927–936.CrossrefGoogle Scholar
  • Cisek P, Kalaska JF (2010) Neural mechanisms for interacting with a world full of action choices. Annu. Rev. Neurosci. 33(1):269–298.CrossrefGoogle Scholar
  • Clithero JA, Rangel A (2013) Informatic parcellation of the network involved in the computation of subjective value. Soc. Cogn. Affect. Neurosci. 9(9):1–14.Google Scholar
  • Daviet R (2018) Methods for statistical analysis and prediction of discrete choices. PhD thesis, University of Toronto, Toronto, Ontario, Canada.Google Scholar
  • Debreu G (1960) Individual choice behavior: A theoretical analysis by R. Duncan Luce. Amer. Econom. Rev. 50(1):186–188.Google Scholar
  • Ding L, Hikosaka O (2006) Comparison of reward modulation in the frontal eye field and caudate of the macaque. J. Neurosci. 26(25):6695–6703.CrossrefGoogle Scholar
  • Domenech P, Redouté J, Koechlin E, Dreher JC (2017) The neuro-computational architecture of value-based selection in the human brain. Cerebral Cortex 28(2):1–17.Google Scholar
  • Dorris MC, Glimcher PW (2004) Activity in posterior parietal cortex is correlated with the relative subjective desirability of action. Neuron 44(2):365–378.CrossrefGoogle Scholar
  • Fehr E, Rangel A (2011) Neuroeconomic foundations of economic choice—Recent advances. J. Econom. Perspect. 25(4):3–30.CrossrefGoogle Scholar
  • FitzGerald THB, Seymour B, Dolan RJ (2009) The role of human orbitofrontal cortex in value comparison for incommensurable objects. J. Neurosci. 29(26):8388–8395.CrossrefGoogle Scholar
  • Frydman C, Jin LJ (2019) Efficient coding and risky choice. Working paper, University of Southern California, Los Angeles.Google Scholar
  • Ganguli D, Simoncelli EP (2014) Efficient sensory encoding and Bayesian inference with heterogeneous neural populations. Neural Comput. 26(10):2103–2134.CrossrefGoogle Scholar
  • Glimcher PW (2003) The neurobiology of visual-saccadic decision making. Ann. Rev. Neurosci. 26(1):133–179.CrossrefGoogle Scholar
  • Glimcher PW (2005) Indeterminacy in brain and behavior. Annu. Rev. Psych. 56(1):25–56.CrossrefGoogle Scholar
  • Glimcher PW (2011) Foundations of Neuroeconomic Analysis (Oxford University Press, Oxford, England).Google Scholar
  • Gluth S, Spektor MS, Rieskamp J (2018) Value-based attentional capture affects multi-alternative decision making. eLife 7(e39659).CrossrefGoogle Scholar
  • Gold JI, Shadlen MN (2007) The neural basis of decision making. Ann. Rev. Neurosci. 30:535–574.CrossrefGoogle Scholar
  • González-Vallejo C (2002) Making trade-offs: A probabilistic and context-sensitive Model of Choice Behavior. Psych. Rev. 109(1):137–155.CrossrefGoogle Scholar
  • Greene WH (2003) Econometric Analysis, 5th ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • Hare TA, Malmaud J, Rangel A (2011a) Focusing attention on the health aspects of foods changes value signals in vmPFC and improves dietary choice. J. Neurosci. 31(30):11077–11087.CrossrefGoogle Scholar
  • Hare TA, Schultz W, Camerer CF, O’Doherty JP, Rangel A (2011b) Transformation of stimulus value signals into motor commands during simple choice. Proc. Natl. Acad. Sci. USA 108(44):18120–18125.CrossrefGoogle Scholar
  • Hartline HK, Ratliff F (1957) Inhibitory interaction of receptor units in the eye of Limulus. J. General Physiol. 40(3):357–376.CrossrefGoogle Scholar
  • Hawkins GE, Forstmann BU, Wagenmakers EJ, Ratcliff R, Brown SD (2015) Revisiting the evidence for collapsing boundaries and urgency signals in perceptual decision-making. J. Neurosci. 35(6):2476–2484.CrossrefGoogle Scholar
  • Heeger DJ (1992) Normalization of cell responses in cat striate cortex. Visual Neurosci. 9(2):181–197.CrossrefGoogle Scholar
  • Holper L, Van Brussel LD, Schmidt L, Schulthess S, Burke CJ, Louie K, Seifritz E, Tobler PN (2017) Adaptive value normalization in the prefrontal cortex is reduced by memory load. eNeuro 4(2):1–20.CrossrefGoogle Scholar
  • Hubel DH, Wiesel TN (1968) Receptive fields and functional architecture of monkey striate cortex. J. Physiol. 195:215–243.CrossrefGoogle Scholar
  • Huber J, Payne JW, Puto C (1982) Adding asymmetrically dominated alternatives: Violations of regularity and the similarity hypothesis. J. Consum. Res. 9(1):90–98.CrossrefGoogle Scholar
  • Hunt LT, Hayden BY (2017) A distributed, hierarchical and recurrent framework for reward-based choice. Nat. Rev. Neurosci. 18(3):172–182.CrossrefGoogle Scholar
  • Ikeda T, Hikosaka O (2003) Reward-dependent gain and bias of visual responses in primate superior colliculus. Neuron 39(4):693–700.CrossrefGoogle Scholar
  • Iyer A, Burge J (2018) Model neuron response statistics to natural images. bioRxiv 7(2):387183.Google Scholar
  • Izquierdo A (2004) Bilateral orbital prefrontal cortex lesions in rhesus monkeys disrupt choices guided by both reward value and reward contingency. J. Neurosci. 24(34):7540–7548.CrossrefGoogle Scholar
  • Kahneman D, Tversky A (1979) Prospect theory: An analysis of decision under risk. Econometrica 47(2):263–292.CrossrefGoogle Scholar
  • Kennerley SW, Wallis JD (2009) Evaluating choices by single neurons in the frontal lobe: outcome value encoded across multiple decision variables. Eur. J. Neurosci. 29(10):2061–2073.CrossrefGoogle Scholar
  • Khaw MW, Li Z, Woodford M (2017) Risk aversion as a perceptual bias. NBER Working Paper No. 23294, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Klein JT, Deaner RO, Platt ML (2008) Neural correlates of social target value in macaque parietal cortex. Current Biol. 18(6):419–424.CrossrefGoogle Scholar
  • Klein TA, Ullsperger M, Jocham G (2017) Learning relative values in the striatum induces violations of normative decision making. Nat. Comm. 8:16033.CrossrefGoogle Scholar
  • Koszegi B, Rabin M (2006) A model of reference-dependent preferences. Quart. J. Econom. 121(4):1133–1165.CrossrefGoogle Scholar
  • Krajbich I, Armel C, Rangel A (2010) Visual fixations and the computation and comparison of value in simple choice. Nat. Neurosci. 13(10):1292–1298.CrossrefGoogle Scholar
  • Landry P, Webb R (2020) Pairwise normalization: A neuroeconomic theory of multi-attribute choice. Working paper, University of Toronto, Toronto, Ontario, Canada.Google Scholar
  • Levy D, Glimcher PW (2011) Comparing apples and oranges: Using reward-specific and reward-general subjective value representation in the brain. J. Neurosci. 31(41):14693–14707.CrossrefGoogle Scholar
  • Levy DJ, Glimcher PW (2012) The root of all value: A neural common currency for choice. Current Opinions Neurobiol. 22(6):1027–1038.CrossrefGoogle Scholar
  • Li V, Castañón SH, Solomon JA, Vandormael H, Summerfield C (2017) Robust averaging protects decisions from noise in neural computations. PLOS Comput. Biol. 13(8):e1005723.CrossrefGoogle Scholar
  • Lichtenstein S, Slovic P (2006) The Construction of Preference (Cambridge University Press, New York).CrossrefGoogle Scholar
  • Lin A, Adolphs R, Rangel A (2012) Social and monetary reward learning engage overlapping neural substrates. Soc. Cognitive Affective Neurosci. 7(3):274–281.CrossrefGoogle Scholar
  • LoFaro T, Louie K, Webb R, Glimcher PW (2014) The temporal dynamics of cortical normalization models of decision-making. Lett. Biomath. 1(2):209–220.CrossrefGoogle Scholar
  • Louie K, Glimcher PW (2010) Separating value from choice: Delay discounting activity in the lateral intraparietal area. J. Neurosci. 30(16):5498–5507.CrossrefGoogle Scholar
  • Louie K, Glimcher PW, Webb R (2015) Adaptive neural coding: From biological to behavioral decision-making. Current Opinions Behav. Sci. 5:91–99.CrossrefGoogle Scholar
  • Louie K, Grattan LE, Glimcher PW (2011) Reward value-based gain control: Divisive normalization in parietal cortex. J. Neurosci. 31(29):10627–10639.CrossrefGoogle Scholar
  • Louie K, Khaw MW, Glimcher PW (2013) Normalization is a general neural mechanism for context-dependent decision making. Proc. Natl. Acad. Sci. USA 110(15):6139–6144.CrossrefGoogle Scholar
  • Louie K, LoFaro T, Webb R, Glimcher PW (2014) Dynamic divisive normalization predicts time-varying value coding in decision-related circuits. J. Neurosci. 34(48):16046–16057.CrossrefGoogle Scholar
  • Louviere J, Street D, Carson R, Ainslie A, DeShazo JR, Cameron T, Hensher D, Kohn R, Marley AAJ (2002) Dissecting the random component of utility. Marketing Lett. 13(3):177–193.CrossrefGoogle Scholar
  • Luce RD (1959) Individual Choice Behaviour (John Wiley, Hoboken, NJ).Google Scholar
  • Lyu S (2011) Dependency reduction with divisive normalization: Justification and effectiveness. Neural Comput. 23(11):2942–2973.CrossrefGoogle Scholar
  • Lyu S, Simoncelli EP (2008) Nonlinear image representation using divisive normalization. Conf. Computer Vision Pattern Recognition 2008 (Institute of Electrical and Electronics Engineers, Washington, DC), 1–8.Google Scholar
  • Machens CK, Gollisch T, Kolesnikova O, Herz A (2005) Testing the efficiency of sensory coding with optimal stimulus ensembles. Neuron 47:447–456.CrossrefGoogle Scholar
  • Mainen ZF, Sejnowski TJ (1995) Reliability of spike timing in neocortical neurons. Science 268(5216):1503–1506.CrossrefGoogle Scholar
  • Marley AAJ, Flynn TN, Louviere JJ (2008) Probabilistic models of set-dependent and attribute-level best–worst choice. J. Math. Psych. 52(5):281–296.CrossrefGoogle Scholar
  • McAdams CJ, Maunsell JHR (1999) Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4. J. Neurosci. 19(1):431–441.CrossrefGoogle Scholar
  • McFadden DL (2001) Economic choices. Amer. Econom. Rev. 91(3):351–378.CrossrefGoogle Scholar
  • McNamee D, Rangel A, O’Doherty JP (2013) Category-dependent and category-independent goal-value codes in human ventromedial prefrontal cortex. Nat. Neurosci. 16(4):479–485.CrossrefGoogle Scholar
  • Moisa M, Polania R, Grueschow M, Lee YJ, Nagy Z, Ruff C (2018) A causal account of the brain network mechanisms underlying value-based choices. Annual Meeting, Society for Neuroeconomics, British Colombia, Canada.Google Scholar
  • Netzer N (2009) Evolution of time preferences and attitudes toward risk. Amer. Econom. Rev. 99(3):937–955.CrossrefGoogle Scholar
  • Noguchi T, Stewart N (2018) Multialternative decision by sampling: A model of decision making constrained by process data. Psych. Rev. 125(4):512–544.CrossrefGoogle Scholar
  • Noonan MP, Chau B, Rushworth MF, Fellows LK (2017) Contrasting effects of medial and lateral orbitofrontal cortex lesions on credit assignment and decision making in humans. J. Neurosci. 37(29):7023–7035.CrossrefGoogle Scholar
  • Ongür D, Price JL (2000) The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans. Cerebral Cortex 10(3):206–219.CrossrefGoogle Scholar
  • Padoa-Schioppa C (2009) Range-adapting representation of economic value in the orbitofrontal cortex. J. Neurosci. 29(44):14004–14014.CrossrefGoogle Scholar
  • Padoa-Schioppa C (2011) Neurobiology of economic choice: A good-based model. Annu. Rev. Neurosci. 34(1):333–359.CrossrefGoogle Scholar
  • Padoa-Schioppa C, Assad JA (2006) Neurons in the orbitofrontal cortex encode economic value. Nature 441(7090):223–226.CrossrefGoogle Scholar
  • Padoa-Schioppa C, Conen KE (2017) Orbitofrontal cortex: A neural circuit for economic decisions. Neuron 96(4):736–754.CrossrefGoogle Scholar
  • Pastor-Bernier A, Cisek P (2011) Neural correlates of biased competition in premotor cortex. J. Neurosci. 31(19):7083–7088.CrossrefGoogle Scholar
  • Plassmann H, O’Doherty JP, Rangel A (2007) Orbitofrontal cortex encodes willingness to pay in everyday economic transactions. J. Neurosci. 27(37):9984–9988.CrossrefGoogle Scholar
  • Platt ML, Glimcher PW (1999) Neural correlates of decision variables in parietal cortex. Nature 400:233–238.CrossrefGoogle Scholar
  • Platt ML, Plassmann H (2013) Muiltistage Valuation Signals and Common Neural Currencies. Neuroeconomics (Academic Press, San Diego, CA).Google Scholar
  • Polania R, Moisa M, Opitz A, Grueschow M, Ruff CC (2015) The precision of value-based choices depends causally on fronto-parietal phase coupling. Nat. Comm. 6(1):8090.CrossrefGoogle Scholar
  • Polania R, Woodford M, Ruff CC (2019) Efficient coding of subjective value. Nat. Neurosci. 22(1):134–142.CrossrefGoogle Scholar
  • Porrino LJ, Crane AM, Rakic PSG (1981) Direct and indirect pathways from the amygdala to the frontal lobe in rhesus monkeys. J. Comp. Neurol. 198(1):121–136.CrossrefGoogle Scholar
  • Qamar AT, Cotton RJ, George RG, Beck JM, Prezhdo E, Laudano A, Tolias AS, Ma WJ (2013) Trial-to-trial, uncertainty-based adjustment of decision boundaries in visual categorization. Proc. Natl. Acad. Sci. USA. 110(50):20332–20337.CrossrefGoogle Scholar
  • Rangel A, Clithero JA (2012) Value normalization in decision making: Theory and evidence. Curr. Opin. Neurobiol. 22(6):970–981.CrossrefGoogle Scholar
  • Ratcliff R (1978) A theory of memory retrieval. Psych. Rev. 85(2):59–108.CrossrefGoogle Scholar
  • Rayo L, Becker GS (2007) Evolutionary efficiency and happiness. J. Political Econom. 115(2):302–337.CrossrefGoogle Scholar
  • Rich EL, Wallis JD (2016) Decoding subjective decisions from orbitofrontal cortex. Nat. Neurosci. 19(7):973–980.CrossrefGoogle Scholar
  • Rieskamp J, Busemeyer JR, Mellers B (2006) Extending the bounds of rationality: Evidence and theories of preferential choice. J. Econom. Literature 44(3):631–661.CrossrefGoogle Scholar
  • Robson AJ (2001a) The biological basis of economic behavior. J. Econom. Literature 39(1):11–33.CrossrefGoogle Scholar
  • Robson AJ (2001b) Why would nature give individuals utility functions? J. Political Econom. 109(4):900–914.CrossrefGoogle Scholar
  • Robson AJ, Samuelson L (2010) The evolutionary foundations of preferences. Benhabib J, Bisin A, Jackson M, eds. Handbook of Social Economics (North Holland, London), 221–310.Google Scholar
  • Robson AJ, Whitehead L (2019) Adaptive cardinal utility. Working paper, Simon Fraser University, Vancouver, British Columbia, Canada.Google Scholar
  • Roitman J, Shadlen MN (2002) Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. J. Neurosci. 22(21):9475–9489.CrossrefGoogle Scholar
  • Rorie AE, Gao J, McClelland JL, Newsome WT (2010) Integration of sensory and reward information during perceptual decision-making in lateral intraparietal cortex (LIP) of the macaque monkey. PLoS One 5(2):e9308.CrossrefGoogle Scholar
  • Rudebeck PH, Saunders RC, Lundgren DA, Murray EA (2017) Specialized representations of value in the orbital and ventrolateral prefrontal cortex: Desirability vs. availability of outcomes. Neuron 95:1208–1220.CrossrefGoogle Scholar
  • Rust NC, Mante V, Simoncelli EP, Movshon JA (2006) How MT cells analyze the motion of visual patterns. Nat. Neurosci. 9(11):1421–1431.CrossrefGoogle Scholar
  • Salisbury LC, Feinberg F (2010) Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test. Marketing Sci. 29(1):1–17.LinkGoogle Scholar
  • Samejima K (2005) Representation of action-specific reward values in the striatum. Science 310(25):1337–1340.CrossrefGoogle Scholar
  • Schwartz O, Simoncelli EP (2001) Natural signal statistics and sensory gain control. Nat. Neurosci. 4(8):819–825.CrossrefGoogle Scholar
  • Seymour B, McClure SM (2008) Anchors, scales and the relative coding of value in the brain. Curr. Opin. Neurobiol. 18(2):173–178.CrossrefGoogle Scholar
  • Shadlen MN, Kiani R (2013) Decision making as a window on cognition. Neuron 80(3):791–806.CrossrefGoogle Scholar
  • Shadlen MN, Newsome WT (1998) The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J. Neurosci. 18(10):3870–3896.CrossrefGoogle Scholar
  • Shadlen MN, Newsome WT (2001) Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. J. Neurophysiol. 86(4):1916–1936.CrossrefGoogle Scholar
  • Shadlen MN, Shohamy D (2016) Decision making and sequential sampling from memory. Neuron 90:927.CrossrefGoogle Scholar
  • Shannon CE (1948) A mathematical theory of communication. Bell Systems Tech. J. 27(3):379–423.CrossrefGoogle Scholar
  • Simon HA (1979) Rational decision making in business organizations. Amer. Econom. Rev. 69(4):493–513.Google Scholar
  • Simonson I (1989) Choice based on reasons: The case of attraction and compromise effects. J. Consumer Res. 16(2):158–174.CrossrefGoogle Scholar
  • Sinz F, Bethge M (2013) Temporal adaptation enhances efficient contrast gain control on natural images. PLOS Comput. Biol. 9(1):e1002889.CrossrefGoogle Scholar
  • Slovic P, Lichtenstein S (1983) Preference reversals: A broader perspective. Amer. Econom. Rev. 73(4):596–605.Google Scholar
  • Smith A, Bernheim BD, Camerer CF, Rangel A (2014) Neural activity reveals preferences without choices. Amer. Econom. J. Microeconom. 6(2):1–36.CrossrefGoogle Scholar
  • Soltani A, De Martino B, Camerer CF (2012) A range-normalization model of context-dependent choice: A new model and evidence. PLOS Comput. Biol. 8(7):e1002607.CrossrefGoogle Scholar
  • Steiner J, Stewart C (2016) Perceiving prospects properly. Amer. Econom. Rev. 106(7):1601–1631.CrossrefGoogle Scholar
  • Stevens CF (2003) Neurotransmitter release at central synapses. Neuron 40(2):381–388.CrossrefGoogle Scholar
  • Stevens SS (1961) To honor Fechner and repeal his law: A power function, not a log function, describes the operating characteristic of a sensory system. Science 133(3446):80–86.CrossrefGoogle Scholar
  • Steverson K, Brandenburger A, Glimcher P (2019) Choice-theoretic foundations of the divisive normalization model. J. Econom. Behav. Organ. 164:148–165.CrossrefGoogle Scholar
  • Sugrue LP, Corrado GS, Newsome WT (2004) Matching behavior and the representation of value in the parietal cortex. Science 304(5678):1782–1787.CrossrefGoogle Scholar
  • Summerfield C, Tsetsos K (2012) Building bridges between perceptual and economic decision-making: Neural and computational mechanisms. Frontiers Neurosci. 6:70.CrossrefGoogle Scholar
  • Suzuki S, Cross L, O’Doherty JP (2017) Elucidating the underlying components of food valuation in the human orbitofrontal cortex. Nat. Neurosci. 20(12):1780–1786.CrossrefGoogle Scholar
  • Swait J, Marley AAJ (2013) Probabilistic choice (models) as a result of balancing multiple goals. J. Math. Psych. 57(1–2):1–14.CrossrefGoogle Scholar
  • Tolhurst DJ, Movshon JA, Dean AF (1983) The statistical reliability of signals in single neurons in cat and monkey visual cortex. Vision Res. 23(8):775–785.CrossrefGoogle Scholar
  • Train KE (2009) Discrete Choice Methods with Simulation, 2nd ed. (Cambridge University Press, New York).CrossrefGoogle Scholar
  • Tremblay L, Schultz W (1999) Relative reward preference in primate orbitofrontal cortex. Nature 398(6729):704–708.CrossrefGoogle Scholar
  • Trueblood JS, Brown SD, Heathcote A (2014) The multiattribute linear ballistic accumulator model of context effects in multialternative choice. Psych. Rev. 121(2):179–205.CrossrefGoogle Scholar
  • Tsetsos K, Usher M, Chater N (2010) Preference reversal in multiattribute choice. Psych. Rev. 117(4):1275–1293.CrossrefGoogle Scholar
  • Tversky A (1972) Elimination by aspects: A theory of choice. Psych. Rev. 79(4):281–299.CrossrefGoogle Scholar
  • Tymula AA, Glimcher PW (2019) Expected Subjective Value Theory (ESVT): A representation of decision under risk and certainty. Working paper, University of Sydney, Sydney, Australia.Google Scholar
  • Vuong QH (1989) Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 57(2):307.CrossrefGoogle Scholar
  • Wainwright MJ, Schwartz O, Simoncelli EP (2001) Natural Image Statistics and Divisive Normalization: Modeling Nonlinearities and Adaptation in Cortical Neurons. Statistical Theories of the Brain (MIT Press, Cambridge, MA).Google Scholar
  • Wang AY, Miura K, Uchida N (2013) The dorsomedial striatum encodes net expected return, critical for energizing performance vigor. Nat. Neurosci. 16(5):639–647.CrossrefGoogle Scholar
  • Wasserman L (2000) Bayesian model selection and model averaging. J. Math. Psych. 44(1):92–107.CrossrefGoogle Scholar
  • Webb R (2019) The (neural) dynamics of stochastic choice. Management Sci. 65(1):230–255.LinkGoogle Scholar
  • Webb R, Levy I, Lazzaro S, Rutledge RB, Glimcher PW (2019) Neural random utility: Relating cardinal neural observables to stochastic choice behaviour. J. Neurosci. Psych. Econom. 12(1):45–72.CrossrefGoogle Scholar
  • Weber E (1834) On the Tactile Senses [Trans. De Tactu] (Experimental Psychology Society, New York)Google Scholar
  • Weber EU, Johnson EJ (2009) Mindful judgment and decision making. Ann. Rev. Psych. 60(1):53–85.CrossrefGoogle Scholar
  • Wei XX, Stocker AA (2017) Lawful relation between perceptual bias and discriminability. Proc. Natl. Acad. Sci. USA 114(38):10244–10249.CrossrefGoogle Scholar
  • Wilcox NT (2011) ‘Stochastically more risk averse:’ A contextual theory of stochastic discrete choice under risk. J. Econom. 162(1):89–104.CrossrefGoogle Scholar
  • Woodford M (2012) Prospect theory as efficient perceptual distortion. Amer. Econom. Rev. 102(3):41–46.CrossrefGoogle Scholar
  • Yamada H, Louie K, Tymula A, Glimcher PW (2018) Free choice shapes normalized value signals in medial orbitofrontal cortex. Nat. Comm. 9(1):162.CrossrefGoogle Scholar
  • Yoo SBM, Hayden BY (2018) Economic choice as an untangling of options into actions. Neuron 99(3):434–447.CrossrefGoogle Scholar
  • Zimmermann J, Glimcher PW, Louie K (2018) Multiple timescales of normalized value coding underlie adaptive choice behavior. Nat. Comm. 9(1):3206.CrossrefGoogle Scholar
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