Electrophysiological recordings on the human scalp provide a wealth of information about the temporal dynamics and nature of face perception at a global level of brain organization. The time window between 100 and 200. ms witnesses the transition between low-level and high-level vision, an N170 component correlating with conscious interpretation of a visual stimulus as a face. This face representation is rapidly refined as information accumulates during this time window, allowing the individualization of faces. To improve the sensitivity and objectivity of face perception measures, it is increasingly important to go beyond transient visual stimulation by recording electrophysiological responses at periodic frequency rates. This approach has...
Face perception is a critical social ability and identifying its neural correlates is important from...
Copyright © 2015 Ela I. Olivares et al. This is an open access article distributed under the Creativ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2003....
Electrophysiological recordings on the human scalp provide a wealth of information about the tempora...
This chapter reviews the contribution of electromagnetic measures, mostly event-related potentials (...
We investigated the internal representations mediating face detection and face identity discriminati...
Humans may be the only species able to rapidly and automatically recognize a familiar face identity ...
International audienceHumans may be the only species able to rapidly and automatically recognize a f...
How fast are visual stimuli categorized as faces by the human brain? Because of their high temporal ...
<p>Abstract copyright data collection owner.</p>For most people, face perception is fast and effortl...
AbstractHow fast are visual stimuli categorized as faces by the human brain? Because of their high t...
This paper reviews a fast periodic visual stimulation (FPVS) approach developed recently to make sig...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
Face perception is a critical social ability and identifying its neural correlates is important from...
Copyright © 2015 Ela I. Olivares et al. This is an open access article distributed under the Creativ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2003....
Electrophysiological recordings on the human scalp provide a wealth of information about the tempora...
This chapter reviews the contribution of electromagnetic measures, mostly event-related potentials (...
We investigated the internal representations mediating face detection and face identity discriminati...
Humans may be the only species able to rapidly and automatically recognize a familiar face identity ...
International audienceHumans may be the only species able to rapidly and automatically recognize a f...
How fast are visual stimuli categorized as faces by the human brain? Because of their high temporal ...
<p>Abstract copyright data collection owner.</p>For most people, face perception is fast and effortl...
AbstractHow fast are visual stimuli categorized as faces by the human brain? Because of their high t...
This paper reviews a fast periodic visual stimulation (FPVS) approach developed recently to make sig...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
What is the stimulus presentation rate at which the human brain can discriminate each exemplar of a ...
Face perception is a critical social ability and identifying its neural correlates is important from...
Copyright © 2015 Ela I. Olivares et al. This is an open access article distributed under the Creativ...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2003....