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Related Concept Videos

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Related Experiment Video

Updated: Aug 5, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Distinct value computations support rapid sequential decisions.

Andrew Mah1, Shannon S Schiereck1, Veronica Bossio1

  • 1Center for Neural Science, New York University; New York, NY 10003.

Biorxiv : the Preprint Server for Biology
|March 30, 2023
PubMed
Summary
This summary is machine-generated.

Rats employ different value computations for sequential decisions, adjusting trial initiation and reward waiting times based on hidden states. This research highlights how distinct value computations interact rapidly in the brain.

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Area of Science:

  • Neuroscience
  • Behavioral Economics
  • Reinforcement Learning

Background:

  • Environmental value influences animal motivation and learning.
  • Value computation can be model-based or model-free (cached).
  • Neural systems' strategies for combining value computations remain unclear.

Approach:

  • High-throughput training of 291 rats on a temporal wagering task with hidden reward states.
  • Statistical modeling to analyze decision-making processes (trial initiation, reward waiting).
  • Investigation of value computation differences within seconds during sequential decisions.

Key Points:

  • Rats dynamically adjust trial initiation and reward waiting based on hidden environmental values.
  • Distinct value computations were identified for initiating trials versus waiting for rewards.
  • Value estimates interacted through a dynamic learning rate, demonstrating rapid timescale integration.

Conclusions:

  • Neural systems utilize distinct value computations for sequential decisions.
  • These computations interact dynamically on rapid timescales.
  • High-throughput training is effective for studying complex cognitive behaviors.