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Related Experiment Video

Updated: Jun 3, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Learning from delayed feedback: neural responses in temporal credit assignment.

Matthew M Walsh1, John R Anderson

  • 1Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA. mmw187@andrew.cmu.edu

Cognitive, Affective & Behavioral Neuroscience
|March 19, 2011
PubMed
Summary
This summary is machine-generated.

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Learning from sequential decisions is challenging. This study used event-related potentials (ERPs) to show how the brain evaluates intermediate states, aiding learning of earlier actions in sequences.

Area of Science:

  • Cognitive Neuroscience
  • Neuroeconomics
  • Computational Neuroscience

Background:

  • Learning from sequential decisions is complex due to the temporal credit assignment problem.
  • Understanding how the brain links actions to delayed outcomes is crucial for decision-making research.

Purpose of the Study:

  • To investigate the neural mechanisms underlying the temporal credit assignment problem in sequential decision-making.
  • To explore how the brain evaluates intermediate states in relation to future rewards.
  • To determine if reinforcement learning models explain behavioral and neural findings.

Main Methods:

  • Utilized event-related potentials (ERPs) to record brain activity.
  • Employed a sequential decision task with two decisions per trial, leading to intermediate states and feedback.

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Last Updated: Jun 3, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

  • Analyzed the feedback-related negativity (fERN) component of ERPs.

    • Main Results:

    • The feedback-related negativity (fERN) was observed following negative feedback and negative intermediate states.
    • Neural responses indicated that intermediate states were evaluated based on expected future reward.
    • These evaluations appeared to support learning of earlier actions within decision sequences.

    Conclusions:

    • The brain evaluates intermediate states in sequential tasks, reflecting expected future reward.
    • This evaluation process aids in solving the temporal credit assignment problem.
    • Findings suggest a reinforcement learning basis for sequential decision-making and learning.