Neuroeconomics: 1st Edition (Hardback) book cover

Neuroeconomics

1st Edition

Edited by Jack J Vromen, Caterina Marchionni

Routledge

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Hardback: 9781138906761
pub: 2019-03-22
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Description

In recent years there has been an astonishing growth in scholarly work at the intersection of economics, neuroscience, and psychology. As neuroeconomics (as this domain is usually known) continues to blossom, this new title from Routledge’s Critical Concepts in the Social Sciences series provides a much-needed compendium of foundational and the very best cutting-edge scholarship. The collection also assembles pioneering manifestos and explicates how—rather than being merely an ‘underlabourer’ of economics or neuroscience—neuroeconomics is becoming a specialized discipline in its own right with distinct research methods, insights, and results.

Neuroeconomics is fully indexed and has a comprehensive introduction, newly written by the editors, which places the collected material in its historical and intellectual context. It is an essential work of reference and is destined to be valued by scholars and students as a vital one-stop research and pedagogic resource.

Table of Contents

Volume 1: The Early Days

Part 1.1 Precursors

  1. Paul W. Glimcher and David L. Sparks, ‘Movement Selection in Advance of Action in the Superior Colliculus’, Nature, 355, 1989, 542-545.
  2. Kenneth H. Britten, Michael N. Shadlen, William T. Newsome and J. Anthony Movshon, ‘The Analysis of Visual Motion: A Comparison of Neuronal and Psychophysical Performance’, The Journal of Neuroscience, 1992, 12, 12, 4745-4765.
  3. P. Read Montague, Peter Dayan and Terrence J. Sejnowski, ‘A Framework for Mesencephalic Dopamine Systems Based on Predictive Hebbian Learning’, The Journal of Neuroscience, 16, 5, 1996, 1936 -1947.
  4. Michael N. Shadlen, Kenneth H. Britten,William T. Newsome and J. Anthony Movshon, ‘A Computational Analysis of the Relationship between Neuronal and Behavioral Responses to Visual Motion’, The Journal of Neuroscience, 16, 4, 1996, 1486-1510.
  5. Wolfram Schultz, Peter Dayan and P. Read Montague, ‘A Neural Substrate of Prediction and Reward’, Science, 275, 5306, 1997, 1593-1599.
  6. Wolfram Schultz, ‘Predictive Reward Signal of Dopamine Neurons’, Journal of Neurophysiology, 80, 1, 1998, 1-27.
  7. P. Read Montague and Gregory S. Berns, ‘Neural Economics and the Biological Substrates of Valuation’, Neuron, 36, 2, 2002, 265-284.
  8.  

    Part 1.2 Manifestos of Neuroeconomics

  9. Paul W. Glimcher and Aldo Rustichini, ‘Neuroeconomics: The Consilience of Brain and Decision’, Science, 306, 5695, 2004, 447-452.
  10. Colin Camerer, George Loewenstein and Drazen Prelec, ‘Neuroeconomics: How Neuroscience Can Inform Economics’, Journal of Economic Literature, 43, 1, 2005, 9-64.
  11.  

    Part 1.3 The Controversy

  12. Faruk Gul and Wolfgang Pesendorfer, ‘The Case for Mindless Economics’, in A. Caplin and A. Schotter (eds.), The Foundations of Positive and Normative Economics: A Handbook (New York: Oxford University Press, 2008), pp. 3–42.
  13. Glenn W. Harrison, ‘Neuroeconomics: A Critical Reconsideration’, Economics and Philosophy, 24, 3, 2008, 303-344.

  14. Don Ross, ‘Two Styles of Neuroeconomics’, Economics and Philosophy, 24, 3, 2008, 473-483.
  15.  

    Volume 2: Neuroeconomics in Different Domains (I)

    Part 2.1 The Processing of Value

  16. Michael L. Platt and Paul W. Glimcher, ‘Neural Correlates of Decision Variables in Parietal Cortex’, Nature, 400, 6741, 1999, 233-238.

  17. M. R. Delgado, L. E. Nystrom, C. Fissell, D. C. Noll and J. A. Fiez, ‘Tracking the Hemodynamic Responses to Reward and Punishment in the Striatum’, Journal of Neurophysiology, 84, 6, 2000, 3072-3077.

  18. Rebecca Elliott, Karl J. Friston and Raymond J. Dolan, ‘Dissociable Neural Responses in Human Reward Systems’, The Journal of Neuroscience, 20, 16, 2000, 6159- 6165.

  19. Brian Knutson, Charles M. Adams, Grace W. Fong and Daniel Hommer, ‘Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens’, The Journal of Neuroscience, 21, RC159, 2001, 1-5.

  20. Hans C. Breiter, Itzhak Aharon, Daniel Kahneman, Anders Dale and Peter Shizgal, ‘Functional Imaging of Neural Responses to Expectancy and Experience of Monetary Gains and Losses’, Neuron, 30, 2, 2001, 619-639.
  21. Camillo Padoa-Schioppa, ‘Orbitofrontal Cortex and the Computation of Economic Value’, Annals of the New York Academy of Sciences, 1121, 2007, 232-253.

  22. Mauricio R. Delgado, ‘Reward-Related Responses in the Human Striatum’, Annals of the New York Academy of Sciences, 1104, 1, 2007, 70-88.

  23. Joseph W. Kable and Paul W. Glimcher, ‘The Neurobiology of Decision: Consensus and Controversy’, Neuron, 63, 6, 2009, 733-745.

  24. Oscar Bartra, Joseph T. McGuire and Joseph W. Kable, ‘The Valuation System: A Coordinate-based Meta-analysis of BOLD fMRI Experiments Examining Neural Correlates of Subjective Value’, Neuroimage, 76, 2013, 412-427.

  25. Ray J. Dolan and Peter Dayan, ‘Goals and Habits in the Brain’, Neuron, 80, 2, 2013, 312-325.
  26.  

    Part 2.2 Intertemporal and Risky Choices

  27. Christopher D. Fiorillo, Philippe N. Tobler and Wolfram Schultz, ‘Discrete Coding of Reward Probability and Uncertainty by Dopamine Neurons’, Science, 299, 5614, 2003, 1898-1902.

  28. Samuel M. McClure, David I. Laibson, George Loewenstein and Jonathan D. Cohen, ‘Separate Neural Systems Value Immediate and Delayed Monetary Rewards’, Science, 306, 5695, 2004, 503-507.

  29. Ming Hsu, Meghana Bhatt, Ralph Adolphs, Daniel Tranel and Colin Camerer, ‘Neural Systems Responding to Degrees of Uncertainty in Human Decision-making’, Science, 310, 5754, 2005, 1680-1683.
  30. Brian Knutson, Jonathan Taylor, Matthew Kaufman, Richard Peterson and Gary Glover, ‘Distributed Neural Representation of Expected Value’, The Journal of Neuroscience, 25, 19, 2005, 4806-4812.
  31. Joseph W. Kable and Paul W. Glimcher, ‘The Neural Correlates of Subjective Value During Intertemporal Choice’, Nature Neuroscience, 10, 12, 2007, 1625-1633.
  32. Sabrina M. Tom, Craig R. Fox, Cristopher Trepel and Russell A. Poldrack, ‘The Neural Basis of Loss Aversion in Decision-making Under Risk’, Science, 315, 5811, 2007, 515-518.
  33.  

    Volume 3: Neuroeconomics in Different Domains (II)

     

    Part 3.1 Social Neuroeconomics

  34. Kevin McCabe, Daniel Houser, Lee Ryan, Vernon Smith and Theodore Trouard, ‘A Functional Imaging Study of Cooperation in Two-person Reciprocal Exchange’, Proceedings of the National Academy of Sciences of the United States of America, 98, 20, 2001, 11832-11835.
  35. James K. Rilling, David A. Gutman, Thorsten R. Zeh, Giuseppe Pagnoni, Gregory S. Berns and Clinton D. Kilts, ‘A Neural Basis for Social Cooperation’, Neuron, 35, 2, 2002, 395-405.
  36. Alan G. Sanfey, James K. Rilling, Jessica A. Aronson, Leigh E. Nystrom and Jonathan D. Cohen, ‘The Neural Basis of Economic Decision-making in the Ultimatum Game’, Science, 300, 5626, 2003, 1755-1758.
  37. Dominique J.-F.de Quervain, Urs Fischbacher, Valerie Treyer, Melanie Schellhammer, Ulrich Schnyder, Alfred Buck and Ernst Fehr, ‘The Neural Basis of Altruistic Punishment’, Science, 305, 5688, 2004, 1254-1258.
  38. Ernst Fehr and Colin F. Camerer, ‘Social Neuroeconomics: The Neural Circuitry of Social Preferences’, Trends in Cognitive Sciences, 11, 10, 2007, 419-427.
  39. Brooks King-Casas, Damon Tomlin, Cedric Anen, Colin F. Camerer, Steven R. Quartz and P. Read Montague, ‘Getting to Know You: Reputation and Trust in a Two-person Economic Exchange’, Science, 308, 5718, 2005, 78-83.
  40. Michael Kosfeld, Markus Heinrichs, Paul J. Zak, Urs Fischbacher and Ernst Fehr, ‘Oxytocin Increases Trust in Humans’, Nature, 435, 7042, 2005, 673-676.
  41. Vasily Klucharev, Kaisa Hytönen, Mark Rijpkema, Ale Smidts and Guillén Fernández, ‘Reinforcement Learning Signal Predicts Social Conformity’, Neuron, 61, 2009, 140-151.
  42.  

    Part 3.2 Neuroeconomic Modeling

  43. Andrew Caplin and Mark Dean, ‘Axiomatic Neuroeconomics’, in P. W. Glimcher and E. Fehr (eds.), Neuroeconomics: Decision Making and the Brain (New York: Academic Press, 2008), pp. 21-31.
  44. Robb B. Rutledge, Mark Dean, Andrew Caplin and Paul W. Glimcher, ‘Testing the Reward Prediction Error Hypothesis with an Axiomatic Model’, The Journal of Neuroscience, 30, 40, 2010, 13525-13536.
  45.  

    Part 3.3 Neuroeconomics and Other Sciences

  46. Taiki Takahashi, ‘A Neuroeconomic Theory of Bidirectional Synaptic Plasticity and Addiction’, Medical Hypotheses, 75, 4, 2010, 356-358.
  47. Joan Y. Chiao, Bobby K. Cheon, Narun Pornpattananangkul, Alissa J. Mrazek and Katherine D. Blizinsky, ‘Cultural Neuroscience: Progress and Promise’, Advances in Culture and Psychology, 4, 1, 2013, 1-19.
  48. Kenneth T.Kishida, Brooks King-Casa and P. Read Montague, ‘Neuroeconomic Approaches to Mental Disorders’, Neuron, 67, 4, 2010, 543-554.
  49.  

    Part 3.4 Neuromarketing

  50. Samuel M. McClure, Jian Li, Damon Tomlin, Kim S. Cypert, Latané M. Montague and P. Read Montague, ‘Neural Correlates of Behavioural Preference for Culturally Familiar Drinks’, Neuron, 44, 2, 2004, 379-387.
  51. Hilke Plassmann, John O'Doherty, Baba Shiv and Antonio Rangel, ‘Marketing Actions Can Modulate Neural Representations of Experienced Pleasantness’, Proceedings of the National Academy of Sciences of the United States of America, 105, 3, 2008, 1050-1054.
  52. Brian Knutson, Scott Rick, G. Elliott Wirnmer, Drazen Prelec and George Loewenstein, ‘Neural Predictors of Purchases’, Neuron, 53, 1, 2007, 147-156.
  53. Nick Lee, Amanda J. Broderick and Laura Chamberlain, ‘What is "Neuromarketing"? A Discussion and Agenda for Future Research’, International Journal of Psychophysiology, 63, 2, 2007, 199-204.
  54.  

    Part 3.5 Neuroeconomics and Policy

  55. Mauricio R. Delgado, Andrew Schotter, Erkut Y. Ozbay and Elizabeth A. Phelps, ‘Understanding Overbidding: Using the Neural Circuitry of Reward to Design Economic Auctions’, Science, 321, 5897, 2008, 1849-1852.
  56. Ian Krajbich, Colin Camerer, John Ledyard and Antonio Rangel, ‘Using Neural Measures of Economic Value to Solve the Public Goods Free-rider Problem’, Science, 326, 5952, 2009, 596-599.
  57. In Krajbich, Colin Camerer and Antonio Rangel, ‘Exploring the Scope of Neurometrically Informed Mechanism Design’, Games and Economic Behavior, 2016.
  58.  

    Volume 4: Methodological and Philosophical Perspectives on Neuroscience

    Part 4.1 Inferential Challenges

  59. Russell A. Poldrack, ‘Can Cognitive Processes be Inferred from Neuroimaging Data?’, Trends in Cognitive Sciences, 10, 2, 2006, 59-63.
  60. Nikolaus Kriegeskorte, Rainer Goebel and Peter Bandettini, ‘Information-based Functional Brain Mapping’, Proceedings of the National Academy of Sciences of the United States of America, 103, 10, 2006, 3863-3868.
  61. Eduard Vul, Christine Harris, Piotr Winkielman and Harold Pashler, ‘Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition’, Perspectives on Psychological Science, 4, 3, 2009, 274-290.
  62. Klaus Fliessbach, Tim Rohe, Nicolas S. Linder, Peter Trautner, Christian E. Elger and Bernd Weber, ‘Retest Reliability of Reward-related BOLD Signals’, Neuroimage, 50, 2010, 1168-1176.
  63. Glenn Harrison and Don Ross, ‘The Methodologies of Neuroeconomics’, Journal of Economic Methodology, 17, 2, 2010, 185-196.
  64. Russell A. Poldrack, ‘Inferring Mental States from Neuroimaging Data: From Reverse Inference to Large-scale Decoding’, Neuron, 72, 5, 2011, 692-697.
  65. Edouard Machery, ‘In Defense of Reverse Inference’, The British Journal for the Philosophy of Science, 65, 2, 2014, 251–267.
  66.  

    Part 4.2 Pharmacological and Other Interventions

  67. Robb B. Rutledge, Nikolina Skandali, Peter Dayan and Raymond J. Dolan, ‘Dopaminergic Modulation of Decision Making and Subjective Well-being’, The Journal of Neuroscience, 35, 27, 2015, 9811-9822.
  68. Daria Knoch, Alvaro Pascual-Leone, Kaspar Meyer, Valerie Treyer and Ernst Fehr, ‘Diminishing Reciprocal Fairness by Disrupting the Right Prefrontal Cortex’, Science, 314, 5800, 2006, 829-832.
  69.  

    Part 4.3 Reduction

  70. John A. Clithero, Dharol Tankersley and Scott A. Huettel, ‘Foundations of Neuroeconomics: From Philosophy to Practice’, PLoS Biology,6, 11, 2008, 2348-2353.
  71. Michiru Nagatsu, ‘Function and Mechanism: The Metaphysics of Neuroeconomics’, The Journal of Economic Methodology, 17, 2, 2010, 197-205.
  72. Carsten Hermann-Pillath, ‘Towards an Externalist Neuroeconomics: Dual Selves, Signs, and Choice’, Journal of Neuroscience, Psychology and Economics, 5, 1, 2012, 38-61.
  73.  

    Part 4.4 Explanation

  74. Carl F. Craver and Anna Alexandrova, ‘No Revolution Necessary: Neural Mechanisms for Economics’, Economics and Philosophy, 24, 3, 2008, 381-406.
  75. Jaakko Kuorikoski and Petri Ylikoski, ‘Explanatory Relevance Across Disciplinary Boundaries: The Case of Neuroeconomics’, Journal of Economic Methodology, 17, 2, 2010, 219-228.
  76.  

    Part 4.5 Economic Models and Neuroeconomics

  77. Jack Vromen, ‘Where Economics and Neuroscience Might Meet’, Journal of Economic Methodology, 17, 2, 2010, 171-183.
  78. Roberto Fumagalli, ‘On the Neural Enrichment of Economic Models: Tractability, Trade-offs and Multiple Levels of Description’, Biology and Philosophy, 26, 5, 2011, 617-635.
  79.  

    Part 4.6 Confirmation

  80. Christopher Clarke, ‘Neuroeconomics and Confirmation Theory’, Philosophy of Science, 81, 2, 2014, 195-215.
  81. Jaakko Kuorikoski and Caterina Marchionni, ‘Triangulation across the Lab, the Scanner and the Field: The Case of Social Preferences’, European Journal for Philosophy of Science, 6, 3, 2016, 361–376.
  82.  

    Part 4.7 Neuroeconomics and Economics

  83. B. Douglas Bernheim, ‘The Psychology and Neurobiology of Judgment and Decision Making: What’s in it for Economists’, in Paul W. Glimcher and Ernst Fehr (eds.), Neuroeconomics: Decision Making and the Brain (New York: Academic Press 2008), pp. 115-125.
  84. Aldo Rustichini, ‘Is there a Method of Neuroeconomics?’, American Economic Journal: Microeconomics, 1, 2, 2009, 48-59.
  85. Don Ross, ‘Estranged Parents and a Schizophrenic Child: Choice in Economics, Psychology and Neuroeconomics’, Journal of Economic Methodology, 18, 3, 2011, 217-231.
  86. Jack Vromen, ‘Neuroeconomics: Two Camps Gradually Converging: What Can Economics Gain from It?’, International Review of Economics, 58, 3, 2011, 267-285.
  87. Mark Dean, ‘What Can Neuroeconomics Tell Us About Economics (and Vice Versa)’, in P. H. Crowley and T. R. Zentall (eds.), Comparative Decision Making (New York: Oxford University Press, 2013), pp. 163-203.
  88. Alec B. Smith, Douglas Bernheim, Colin F. Camerer and Antonio Rangel, ‘Neural Activity Reveals Preferences without Choices’, American Economic Journal: Microeconomics, 6, 2, 2014, 1-36.

About the Series

Critical Concepts in the Social Sciences

The Critical Concepts in Social Sciences series encompasses a wide area of study and consequently the series includes titles on a number of popular subject areas, including human geography, leisure, tourism and economics. Risk is a new publication within this series and a suitable apt title for the times we live in. Examining potential hazards, such as hurricanes, earthquakes and oil spills, the collection looks to uncover how we may better understand Risk Analysis.

The social sciences is a large area of study that is growing in interest and research output. Collections in this series look to collate the best of the available scholarship and are edited and introduced by leading academics in the field.

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