This Project investigates one of the most important ways in which humans learn to make sound decisions: through observing other people. Whereas Project 1 investigated how we value social and nonsocial stimuli (social reward processing), this Project 2 investigates how we learn from other people about rewards (observational learning). Do the same computations of decision values and experienced values that were investigated under Project 1 also come into play when we watch others? If so, do they recruit the same brain structures? Four Specific Aims systematically investigate how the mechanisms behind observational learning might contrast with the much better studied mechanisms behind learning from direct experience.
The first Aim focuses on a structure thought to encode reward prediction errors in dopaminergic neurons that drive learning, the ventral striatum, and recordings in monkeys.
The second Aim extends these studies to humans, using single-unit and LFP data from intracranial recordings, together with fMRI and focuses on the target structures of dopamine projections: amygdala and vmPFC.
The third Aim asks what difference it might make exactly who we are observing: whether the person is competent or not, whether they are a friend or a stranger;
this Aim looks at such modulation in the ventral striatum, the amygdala, and the ventromedial prefrontal cortex.
The fourth Aim explores possible individual differences between the fMRI data obtained under Aims 1 and 2, and the psychological variables assessed under Core 3.

Public Health Relevance

Many mental illnesses are associated with the most disabling dysfunction in the social domain. Possible deficits in observational learning may be a hallmark of autism, in particular. This Project constitutes the foundation of that investigation and will have relevance for the ultimate diagnosis, management and treatment of mental illnesses.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH094258-03
Application #
8661296
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
3
Fiscal Year
2014
Total Cost
Indirect Cost
Name
California Institute of Technology
Department
Type
DUNS #
City
Pasadena
State
CA
Country
United States
Zip Code
91125
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Báez-Mendoza, Raymundo; Schultz, Wolfram (2016) Performance error-related activity in monkey striatum during social interactions. Sci Rep 6:37199
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Zangemeister, Leopold; Grabenhorst, Fabian; Schultz, Wolfram (2016) Neural Basis for Economic Saving Strategies in Human Amygdala-Prefrontal Reward Circuits. Curr Biol 26:3004-3013
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Schultz, Wolfram (2016) Dopamine reward prediction-error signalling: a two-component response. Nat Rev Neurosci 17:183-95
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Stauffer, William R; Lak, Armin; Kobayashi, Shunsuke et al. (2016) Components and characteristics of the dopamine reward utility signal. J Comp Neurol 524:1699-711
Dunne, Simon; D'Souza, Arun; O'Doherty, John P (2016) The involvement of model-based but not model-free learning signals during observational reward learning in the absence of choice. J Neurophysiol 115:3195-203
Dubois, Julien; Adolphs, Ralph (2016) Building a Science of Individual Differences from fMRI. Trends Cogn Sci 20:425-43

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