Beauty is in the efficient coding of the beholder

Area of Science:

• Neuroscience
• Evolutionary Biology
• Psychology

Background:

• Sexual ornaments are theorized to signal mate quality, but the initial selection mechanisms are unclear.
• Perceptual biases are proposed drivers, yet existing research is often taxon-specific.
• A universal bias in mate choice remains to be identified.

Purpose of the Study:

• To investigate a potentially universal perceptual bias influencing mate choice.
• To determine if neural coding efficiency relates to perceived attractiveness.
• To explore the general importance of perceptual biases in sexual selection.

Main Methods:

• Utilized an algorithm to model neural activity sparseness in the human primary visual cortex (V1).
• Analyzed the correlation between visual sparseness and male ratings of female facial attractiveness.
• Assessed the variance in attractiveness explained by neural coding properties.

Main Results:

• Neural activity sparseness in V1 positively correlated with perceived attractiveness of female faces.
• Sparseness accounted for up to 17% of the variance in attractiveness ratings.
• The findings suggest a visual bias influencing facial attractiveness perception.

Conclusions:

• Attractiveness judgments for female faces are influenced by a visual bias rooted in efficient neural coding.
• The ubiquity of efficient neural coding suggests widespread influence on mate choice across species and sensory modalities.
• This research provides a foundation for understanding general mechanisms of sexual selection beyond coevolutionary dynamics.