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Discretized representations in V1 predict suboptimal orientation discrimination.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Perception

Background:

  • Neuronal population activity in sensory cortices underlies perceptual decisions.
  • The relationship between neuronal information content and behavioral reports remains unclear.
  • Reconciling neurometric and psychometric performance is crucial for understanding decision-making.

Purpose of the Study:

  • To investigate how neuronal information in the primary visual cortex (V1) relates to behavioral reports in a sensory discrimination task.
  • To understand the neural mechanisms underlying perceptual decisions.
  • To bridge the gap between neural activity and behavioral outcomes.

Main Methods:

  • Recorded V1 neuronal activity in mice performing a Go/NoGo orientation discrimination task.
  • Analyzed neuronal representations around the discrimination threshold.
  • Correlated neuronal activity patterns with decision probabilities.

Main Results:

  • V1 neurons did not represent stimulus orientation directly at the discrimination threshold.
  • V1 exhibited categorical representations with activity relocation in orientation space.
  • Relative neuronal activity in discrete domains predicted decision probabilities.

Conclusions:

  • Perceptual decisions may arise from the categorical integration of discretized feature representations from sensory cortices.
  • V1's role in decision-making involves categorical, rather than purely continuous, stimulus representation.
  • The findings offer a new perspective on how sensory information is transformed into behavioral choices.