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Serial dependence in face-gender classification revealed in low-beta frequency EEG.

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Recent face perception is influenced by past experiences, a phenomenon called serial dependence. Neural activity in the beta frequency range (14-20 Hz) in EEG signals reflects this past influence, impacting current gender discrimination.

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Area of Science:

  • Cognitive Neuroscience
  • Perception
  • Human Brain Activity

Background:

  • Perception is influenced by immediate past experiences, known as serial dependence.
  • This phenomenon is particularly pronounced in face perception.
  • The underlying neurophysiological mechanisms remain unclear.

Purpose of the Study:

  • To investigate the neural basis of serial dependence in face-gender perception.
  • To determine if past facial stimuli can be decoded from ongoing neural activity.
  • To link neural signals to the strength of perceptual bias.

Main Methods:

  • Participants discriminated face-gender from sequences of male, female, and androgynous images.
  • Electroencephalography (EEG) was recorded during the task.
  • Machine learning classification techniques were used to decode previous trial information from EEG.

Main Results:

  • Strong serial dependence was observed, with androgynous faces biased by preceding gender.
  • The strength of this bias oscillated at specific beta frequencies (14 Hz for female, 18 Hz for male priors).
  • Classification accuracy of previous stimulus gender from EEG correlated with individual serial dependence strength.

Conclusions:

  • Recent face-gender experience is selectively encoded in beta-frequency neural oscillations (14-20 Hz).
  • Neural signals from previous trials are maintained and influence current perception.
  • These findings implicate beta-frequency neural activity as the substrate for serial dependence in face perception.