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Independent Neural Computation of Value from Other People’s Confidence

Brief about:

Journal Article (2017)

Open access
Written by:
Senior Lecturer in Psychology | University of Sussex
Other researchers:
Arndis Simonsen, Chris Frith, Nathaniel Daw
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Cite page
Campbell-Meiklejohn, Daniel. 'Independent Neural Computation of Value from Other People’s Confidence'. Acume. https://www.acume.org/r/independent-neural-computation-of-value-from-other-peoples-confidence/

 Understanding how the brain separately processes value by assessing others’ confidence, distinct from firsthand experience, to illuminate social influences on decision-making.

Many human decisions-whether in social settings, business, or everyday life-are influenced by others’ visible confidence, especially when one lacks personal experience to guide choices. The brain’s ability to incorporate such social cues to gauge potential outcomes has meaningful implications for adaptive decision-making in social environments. Previous research suggests that the ventromedial prefrontal cortex (vmPFC) plays a broad role in evaluating value, but the specific pathways by which it distinguishes information inferred from social cues (like confidence) versus direct personal experience have been unclear.

Here, the focus is on the distinct pathways within vmPFC that compute value when people observe the confidence levels of others versus when they draw on their own knowledge. By identifying how confidence cues independently influence neural computation of value, this study contributes to understanding how humans navigate socially influenced environments, which range from policy settings to financial markets. These insights deepen the broader understanding of how confidence in others’ expertise can support or even override personal decision-making, relevant to fields where judgment and risk-taking are key.

 

Key findings

  1. Observing others' confident actions influences participants' decisions, suggesting confidence conveys a reliability metric.
    Evidence

    In a decision-making task with 23 participants, fictional agents displayed varied confidence levels. The choices of confident agents had a stronger impact on participants' decisions than those of unconfident agents, indicating that confidence acts as a perceived reliability cue.

    What it means

    The study demonstrates that neural processing of indirect information (confidence) supports adaptive decision-making by weighing social cues where personal experience is unavailable.

  2. Value computations from others' confidence cues activate distinct regions within the ventromedial prefrontal cortex (vmPFC).
    Evidence

    Functional MRI (fMRI) results showed that while firsthand sample-based value activates the posterior vmPFC, confidence-weighted social cues recruit anterior vmPFC (area 10).

    What it means

    This anatomical division in vmPFC suggests specific roles for posterior and anterior vmPFC regions in processing social versus experiential learning, highlighting vmPFC's complexity in managing indirect social information.

  3. Self-reported social conformity and self-reliance correlate with task performance and unique neural responses.
    Evidence

    Greater task reliance on personal samples correlated with lower self-reported conformity (r = 0.46, p = 0.013), while higher conformity scores were linked to increased dorsomedial prefrontal cortex (dmPFC) and right temporoparietal junction (rTPJ) activation during task-related social conflict.

    What it means

    These results imply neural markers for individual conformity traits, with lab-based social learning cues predicting broader social behaviors.

  4. Value derived from personal experience and others' choices overlaps in vmPFC, but confidence-weighted value shows unique anterior activation.
    Evidence

    vmPFC activity tracked both personal experience and agents' choices without confidence weighting, while anterior vmPFC selectively activated for confidence-weighted decisions (p < 0.05).

    What it means

    This specificity of value encoding along the vmPFC axis suggests that complex, confidence-based inferences rely on anterior areas, emphasizing vmPFC's organizational role for social learning complexity.

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Independent Neural Computation of Value from Other People’s Confidence

Cite this brief: Campbell-Meiklejohn, Daniel. 'Independent Neural Computation of Value from Other People’s Confidence'. Acume. https://www.acume.org/r/independent-neural-computation-of-value-from-other-peoples-confidence/

Brief created by: Dr Daniel Campbell-Meiklejohn | Year brief made: 2024

Original research:

  • Simonsen, A., Campbell-Meiklejohn, D., & et al., ‘Independent Neural Computation of Value from Other People’s Confidence’ 37(3) (pp. 673–684) https://doi.org/10.1523/JNEUROSCI.4490-15.2017. – https://doi.org/10.1523/JNEUROSCI.4490-15.2016

Research brief:

Understanding how the brain separately processes value by assessing others’ confidence, distinct from firsthand experience, to illuminate social influences on decision-making.

Many human decisions-whether in social settings, business, or everyday life-are influenced by others’ visible confidence, especially when one lacks personal experience to guide choices. The brain’s ability to incorporate such social cues to gauge potential outcomes has meaningful implications for adaptive decision-making in social environments. Previous research suggests that the ventromedial prefrontal cortex (vmPFC) plays a broad role in evaluating value, but the specific pathways by which it distinguishes information inferred from social cues (like confidence) versus direct personal experience have been unclear.

Here, the focus is on the distinct pathways within vmPFC that compute value when people observe the confidence levels of others versus when they draw on their own knowledge. By identifying how confidence cues independently influence neural computation of value, this study contributes to understanding how humans navigate socially influenced environments, which range from policy settings to financial markets. These insights deepen the broader understanding of how confidence in others’ expertise can support or even override personal decision-making, relevant to fields where judgment and risk-taking are key.

Findings:

Observing others’ confident actions influences participants’ decisions, suggesting confidence conveys a reliability metric.

In a decision-making task with 23 participants, fictional agents displayed varied confidence levels. The choices of confident agents had a stronger impact on participants’ decisions than those of unconfident agents, indicating that confidence acts as a perceived reliability cue.

The study demonstrates that neural processing of indirect information (confidence) supports adaptive decision-making by weighing social cues where personal experience is unavailable.

Value computations from others’ confidence cues activate distinct regions within the ventromedial prefrontal cortex (vmPFC).

Functional MRI (fMRI) results showed that while firsthand sample-based value activates the posterior vmPFC, confidence-weighted social cues recruit anterior vmPFC (area 10).

This anatomical division in vmPFC suggests specific roles for posterior and anterior vmPFC regions in processing social versus experiential learning, highlighting vmPFC’s complexity in managing indirect social information.

Self-reported social conformity and self-reliance correlate with task performance and unique neural responses.

Greater task reliance on personal samples correlated with lower self-reported conformity (r = 0.46, p = 0.013), while higher conformity scores were linked to increased dorsomedial prefrontal cortex (dmPFC) and right temporoparietal junction (rTPJ) activation during task-related social conflict.

These results imply neural markers for individual conformity traits, with lab-based social learning cues predicting broader social behaviors.

Value derived from personal experience and others’ choices overlaps in vmPFC, but confidence-weighted value shows unique anterior activation.

vmPFC activity tracked both personal experience and agents’ choices without confidence weighting, while anterior vmPFC selectively activated for confidence-weighted decisions (p < 0.05).

This specificity of value encoding along the vmPFC axis suggests that complex, confidence-based inferences rely on anterior areas, emphasizing vmPFC’s organizational role for social learning complexity.

Open Access|Peer Reviewed

"Independent Neural Computation of Value from Other People's Confidence"

Cite paper

Simonsen, A., Campbell-Meiklejohn, D., & et al., ‘Independent Neural Computation of Value from Other People’s Confidence’ 37(3) (pp. 673–684) https://doi.org/10.1523/JNEUROSCI.4490-15.2017.

2017 · Journal Of Neuroscience · pp. 673–684Find full paper →DOI: 10.1523/JNEUROSCI.4490-15.2017
Co-authors
Arndis Simonsen, Chris Frith, Nathaniel Daw
Methodology
This is a quantitative study.

This study used a mixed-methods design with an experimental fMRI task and behavioral analysis to assess how confidence cues influence value computation. Participants viewed agents' choices with varied confidence levels and made marble color predictions. Multilevel logistic regression analyzed decision impacts of firsthand experience versus confidence-weighted social cues. Brain activity was assessed through fMRI, mapping value-based activation and identifying vmPFC subregions associated with confidence-weighted value processing.

Funding

Danish Council for Independent Research; Lundbeck Foundation

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