This paper presents a spatio-temporal saliency model that predicts eye movement during
video free viewing. This model is inspired by the biology of the first steps of the human visual …

The visual perception of human faces by man is fast and efficient compared to that of other
categories of objects. Using a saccadic choice task, recent studies showed that participants …

Models of the visual cortex are based on image decomposition according to the Fourier
spectrum (amplitude and phase). On one hand, it is commonly believed that phase information is …

Abstract Abstract: Abstract Conversation scenes are a typical example in which classical
models of visual attention dramatically fail to predict eye positions. Indeed, these models rarely …

Models of visual attention rely on visual features such as orientation, intensity or motion to
predict which regions of complex scenes attract the gaze of observers. So far, sound has …

Faces play an important role in guiding visual attention, and thus, the inclusion of face
detection into a classical visual attention model can improve eye movement predictions. In this …

Visual analysis begins with the parallel extraction of different attributes at different spatial
frequencies. Low spatial frequencies (LSF) convey coarse information and are characterized …

The P300 event-related potential has been extensively studied in electroencephalography
with classical paradigms that force observers to not move their eyes. This potential is …

Neurophysiological, behavioral, and computational data indicate that visual analysis may start
with the parallel extraction of different elementary attributes at different spatial frequencies …

The safety and efficacy of neuronavigated intermittent theta burst stimulation (iTBS) in patients
with bipolar depression has not yet been investigated. We hypothesized the superiority of …