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Neural dynamics stability influences visual perception and decision-making. More stable neural activity in the visual cortex correlates with fewer false alarms and better task performance, suggesting distinct strategies underlie perceptual errors.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural population activity can be modeled as dynamical systems.
  • Latent dynamics stability is linked to consistent behavior in motor control and decision-making.
  • The role of dynamics stability in visual perception and decision-making remains unclear.

Purpose of the Study:

  • Investigate the relationship between latent dynamics stability in the visual cortex (V4) and perceptual behavior.
  • Determine if neural instability contributes to false alarm errors in a visual change-detection task.

Main Methods:

  • Recorded neural population activity in V4 of monkeys performing a non-match-to-sample visual change-detection task.
  • Analyzed the stability of latent neural dynamics during the task.
  • Correlated neural stability with behavioral metrics, including false alarm rates and reaction times.

Main Results:

  • Greater neural stability was associated with longer trial sequences.
  • Increased stability in V4 dynamics correlated with a decreased false alarm rate and slower reaction times.
  • Low neural stability predicted false alarms on a single-trial basis, particularly later in the trial.

Conclusions:

  • Neural dynamics stability in V4 influences perceptual decision-making.
  • False alarms can arise from distinct strategies: premeditated errors linked to stability or misperception due to instability.
  • Examining neural stability can disambiguate the underlying mechanisms of perceptual errors.