Rico Stecher

A neuro-computational approximation of the qualities of mental images

This paper develops a neuro-computational approach to assess mental image qualities using EEG and AI-generated images, finding that blurred and low contrast images align better with human alpha activity.

Distinct spatiotemporal representations of image beauty and image quality

The paper investigates the spatiotemporal dynamics of image beauty and quality perception using EEG and fMRI, finding distinct neural representations for each.

Primate visual cortex spontaneously computes the beauty of objects

The paper shows that early visual cortex in humans and non-human primates rapidly computes perceived beauty of objects without explicit judgments.

Imaginary scenes are represented in cortical alpha activity

The paper decodes imagined natural scenes from alpha band EEG activity, showing that complex visual imagery is represented in alpha rhythms and shares representations with perception.

Your place or mine? The neural dynamics of personally familiar scene recognition suggests category independent familiarity encoding

This study uses EEG and multivariate pattern analysis to show that familiarity with scenes and faces is decoded from neural signals with similar temporal dynamics, suggesting category-independent familiarity encoding.

EEG decoding reveals neural predictions for naturalistic material behaviors

The paper uses EEG decoding to study how expectations about material behaviors influence neural processing, finding a sequence of predictions from general expectation fulfillment to processing of unexpected behaviors.

Prolonged and distributed processing of facial identity in the human brain

This study investigates the spatio-temporal dynamics of facial identity processing in the human brain using combined fMRI and EEG data, revealing prolonged and distributed neural activity.