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Area of Science:

  • Cognitive Neuroscience
  • Decision Neuroscience

Background:

  • Neural mechanisms for binary decisions are understood, but complex choices with multiple options remain less clear.
  • Real-world decisions often involve more than two alternatives, posing unique challenges for evidence accumulation and action selection.

Purpose of the Study:

  • To investigate how evidence accumulation influences multiple action representations during complex perceptual decisions.
  • To test whether suppressed baseline neural activity compensates for increased uncertainty in multi-choice scenarios.

Main Methods:

  • Tracking action representations via corticospinal excitability during two- and four-choice perceptual tasks.
  • Modeling neural dynamics using a leaky competing accumulator framework adapted for multiple choices.

Main Results:

  • Observed dynamic changes in human action representations consistent with predictions of multi-choice accumulator models.
  • Found evidence for reduced baseline activity in multi-choice scenarios, supporting a compensatory mechanism for uncertainty.

Conclusions:

  • Evidence accumulation directly and continuously influences corticospinal excitability during complex choices.
  • Suppressed baseline activity is a key neural mechanism for managing uncertainty in multi-alternative decision-making.