Single-session label training alters neural competition between objects and faces.

Area of Science:

• Cognitive Neuroscience
• Visual Perception
• Neuroplasticity

Background:

• The impact of learning to categorize novel visual stimuli on visuocortical processing remains unclear.
• Understanding how labeling influences neural competition is crucial for deciphering visual learning mechanisms.

Purpose of the Study:

• To investigate whether learning to categorize novel objects via labeling creates a competitive advantage over concurrently presented stimuli.
• To examine the neural correlates of this competitive advantage using steady state visual evoked potential (ssVEP) frequency tagging.

Main Methods:

• Participants (n=24) underwent a label-training phase, categorizing objects and faces.
• A control group (n=26) viewed stimuli without label learning.
• Steady state visual evoked potential (ssVEP) frequency tagging measured neural competition between superimposed faces and objects before and after training.

Main Results:

• The training group exhibited a competitive advantage for labeled objects over faces in occipito-temporal and fronto-parietal regions.
• This effect was more pronounced in participants with greater improvement in label learning.
• No such advantage was observed in the control group.

Conclusions:

• Learning to label novel object categories alters neural competition, favoring the learned categories.
• This suggests recurrent neural interactions in visual perception and selective attention regions are modulated by object learning.
• Findings highlight the brain's capacity to reorganize visual processing based on learned categorical information.