Journal Article

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

Burr, David C., Morrone, Maria Concetta, Ranieri, Giacomo, Bell, Jason

2025

Overview

Background Perception depends not only on current sensory input but is also heavily influenced by the immediate past perceptual experience, a phenomenon known as “serial dependence,” particularly robust in face perception. Results We measured discrimination of face-gender in participants to a sequence of intermingled male, female, and androgynous images, while recording EEG responses. The discriminations showed strong serial dependence (androgynous images biased towards male when preceded by male and female when preceded by female). The strength of the bias oscillated over time in the beta range, at 14 Hz for female prior stimuli, 18 Hz for male. Using classification techniques, we were able to successfully classify the previous stimulus from current EEG activity. Classification accuracy correlated well with the strength of serial dependence across individual participants, confirming that the neural signal from the past trial biased face perception. Bandpass filtering of the signal within the beta range showed that the most useful information to classify gender was around 14 Hz when the previous response was “female,” and around 18 Hz when it was “male,” reinforcing the psychophysical results showing serial dependence to be carried at those frequencies. Conclusions Overall, the results suggest that recent experience of face-gender is selectively represented in beta-frequency (14–20 Hz) spectral components of intrinsic neural oscillations. Significance statement The neurophysiological mechanisms of how past perceptual experience affects current perception are poorly understood. Using classification techniques, we demonstrate that the response to gender of the previous face image of a sequence can be decoded from the neural activity of the current EEG response, showing that relevant neural signals are maintained over trials. Classification accuracy was higher for participants with strong serial dependence, strongly implicating these signals as the neural substrate for serial dependence. The best information to classify gender was around 14 Hz for “female” faces, and around 18 Hz for “male,”, reinforcing the psychophysical results showing serial dependence to be carried at those beta -frequencies.

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Accuracy / Adult / Analysis / Androgyny / Bandpass filters / Beta oscillations / Beta Rhythm / Bias / Biomedical and Life Sciences / Brain research / Classification / EEG / EEG decoding / Electroencephalography / Face / Face recognition (Psychology) / Face-gender discrimination / Facial Recognition - physiology / Female / Females / Gender / Humans / Integrative and translational serial dependence / Life Sciences / Male / Neural oscillations / Neurophysiology / Oscillations / Perception / Photic Stimulation / Psychophysics / Serial dependence / Sex discrimination / Vision / Visual perception / Young Adult