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Single-trial dynamics explain magnitude sensitive decision making.

Angelo Pirrone1,2,3,4, Wen Wen1,2,3,4, Sheng Li5,6,7,8

  • 1School of Psychological and Cognitive Sciences, Peking University, Beijing, 100871, China.

BMC Neuroscience
|September 12, 2018
PubMed
Summary
This summary is machine-generated.

Magnitude sensitive reaction times are influenced by single-trial dynamics, challenging models that assume magnitude insensitivity at this level. This finding impacts our understanding of decision-making processes.

Keywords:
DDMDecision boundaryDecision makingMagnitude sensitivityReward

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Area of Science:

  • Cognitive Neuroscience
  • Computational Neuroscience
  • Decision Science

Background:

  • Previous research and theoretical work suggest reaction times can be sensitive to stimulus magnitude.
  • Magnitude sensitivity may stem from single-trial dynamics or from overall reward influencing decision boundary collapse.

Purpose of the Study:

  • To review existing theoretical and empirical evidence on magnitude sensitivity in reaction times.
  • To present new empirical evidence supporting magnitude sensitivity arising from single-trial dynamics.

Main Methods:

  • Review of prior theoretical and empirical findings.
  • Presentation of new empirical data investigating single-trial dynamics and reaction times.

Main Results:

  • Evidence is presented for magnitude sensitivity originating from single-trial dynamics.
  • This finding contradicts models where single-trial dynamics are magnitude insensitive.

Conclusions:

  • The observed magnitude sensitive reaction times are incompatible with single-trial magnitude insensitive models.
  • Statistically optimal drift diffusion models, as currently formulated, do not fully explain these results.