Recent research has demonstrated that neural and behavioral data acquired in response to
viewing face images can be used to reconstruct the images themselves. However, the …

Emotion detection is an important research issue in electroencephalogram (EEG). Signal
preprocessing and feature selection are parts of feature engineering, which determines the …

Extensive work has investigated the neural processing of single faces, including the role of
shape and surface properties. However, much less is known about the neural basis of face …

Spatio-temporal patterns of evoked brain activity contain information that can be used to
decode and categorize the semantic content of visual stimuli. However, this procedure can …

Establishing consistent relationships between neural activity and behavior is a challenge in
human cognitive neuroscience research. We addressed this issue using variable time …

The N190 is a body-sensitive ERP component that responds to images of human bodies in
different poses. In natural settings, bodies vary in posture and appear within complex …

We present Alljoined, a dataset built specifically for EEG-to-Image decoding. Recognizing
that an extensive and unbiased sampling of neural responses to visual stimuli is crucial for …

The perception and interpretation of faces provides individuals with a wealth of knowledge
that enables them to navigate their social environments more successfully. Prior research …

Ensemble perception is the ability of the visual system to summarize object groups by their
statistical properties. At a fundamental level, past studies show clearly that ensembles are …

The perception and interpretation of faces provides individuals with a wealth of knowledge
that enables them to navigate their social environments more successfully. The present …