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Rapid Adaptation Induces Persistent Biases in Population Codes for Visual Motion.

Elizabeth Zavitz1, Hsin-Hao Yu2, Elise G Rowe3

  • 1Department of Physiology, Neuroscience Program, Biomedicine Discovery Institute, and ARC Centre of Excellence for Integrative Brain Function, Monash University Node, Monash University, Clayton, VIC 3800, Australia elizabeth.zavitz@monash.edu.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
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Visual adaptation biases perception by altering neural responses. This study shows short-term adaptation significantly impacts neural encoding and decoding, leading to perceptual biases, suggesting it

Keywords:
adaptationarea MTdirection aftereffectmarmosetmiddle temporal areamotion

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Perception

Background:

  • Visual experience dynamically alters neural responses.
  • Failure to incorporate these neural encoding changes leads to perceptual biases.
  • Adaptation's effects are typically studied in isolation, not under naturalistic conditions.

Purpose of the Study:

  • To investigate how adaptation-induced biases arise and persist during continuous, naturalistic visual stimulation.
  • To understand the temporal dynamics of adaptation's effects on neural encoding and population decoding.

Main Methods:

  • Simultaneous recording of up to 61 neurons in the marmoset middle temporal area.
  • Presentation of rapidly changing visual stimuli (direction changes every 500 ms).
  • Analysis of neural encoding changes (gain, spike count correlations, bandwidth, preferred direction) and population decoding performance.

Main Results:

  • Short-term (0.5 s) direction-specific adaptation significantly altered neural encoding for up to 2 s.
  • Adaptation reduced neural gain and spike count correlations, predicting repulsive perceptual biases (direction aftereffect).
  • Population decoding errors correlated with adaptation strength, and removing spike count correlations did not affect decoding performance or bias.

Conclusions:

  • Neural and perceptual repulsion are likely consequences of optimizing neural encoding for diverse stimuli and contexts, rather than mechanisms to enhance performance.
  • Adaptation's effects on neural code and its temporal persistence are crucial for understanding visual perception.
  • This study provides novel insights into the cascade of adaptation effects during continuous naturalistic vision.