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Neuron. 2015 Jul 15;87(2):451-62. doi: 10.1016/j.neuron.2015.06.031.

A Neurocomputational Model of Altruistic Choice and Its Implications.

Author information

1
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA; Department of Psychology, University of Toronto, Toronto, ON M1C 1A4, Canada. Electronic address: chutcher@hss.caltech.edu.
2
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA; Department of Economics, Harvard University, Cambridge, MA 02138, USA.
3
Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA; Computational and Neural Systems, California Institute of Technology, Pasadena, CA 91125, USA.

Abstract

We propose a neurocomputational model of altruistic choice and test it using behavioral and fMRI data from a task in which subjects make choices between real monetary prizes for themselves and another. We show that a multi-attribute drift-diffusion model, in which choice results from accumulation of a relative value signal that linearly weights payoffs for self and other, captures key patterns of choice, reaction time, and neural response in ventral striatum, temporoparietal junction, and ventromedial prefrontal cortex. The model generates several novel insights into the nature of altruism. It explains when and why generous choices are slower or faster than selfish choices, and why they produce greater response in TPJ and vmPFC, without invoking competition between automatic and deliberative processes or reward value for generosity. It also predicts that when one's own payoffs are valued more than others', some generous acts may reflect mistakes rather than genuinely pro-social preferences.

PMID:
26182424
PMCID:
PMC4947370
DOI:
10.1016/j.neuron.2015.06.031
[Indexed for MEDLINE]
Free PMC Article

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