Taiki Orima

The paper shows that perceived realness is processed in higher dorsal visual areas, not the ventral stream, through a transformation of image features.

This study investigates how statistical image features contribute to natural scene and object recognition using psychophysical experiments and EEG decoding, finding that scenes are better recognized via these features than objects.

This study uses EEG to decode material categories and surface properties from visual stimuli, showing that global image features are represented in early visual cortex and enable classification of material qualities.

The paper uses EEG decoding to analyze spatiotemporal cortical dynamics in scene recognition, finding distinct brain regions and timings for different global properties.

This paper reconstructs photorealistic texture images from EEG signals using an MVAE-based approach, showing that texture perception can be decoded from low-resolution neural data.