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Successful decoding of famous faces in the fusiform face area.

Axelrod V, Yovel G - PLoS ONE (2015)

Bottom Line: We found that face-identity could be discriminated above chance level only in the fusiform face area.Our results corroborate the role of the fusiform face area in face recognition.Future studies are needed to further explore the role of the more recently discovered anterior face-selective areas in face recognition.

View Article: PubMed Central - PubMed

Affiliation: School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.

ABSTRACT
What are the neural mechanisms of face recognition? It is believed that the network of face-selective areas, which spans the occipital, temporal, and frontal cortices, is important in face recognition. A number of previous studies indeed reported that face identity could be discriminated based on patterns of multivoxel activity in the fusiform face area and the anterior temporal lobe. However, given the difficulty in localizing the face-selective area in the anterior temporal lobe, its role in face recognition is still unknown. Furthermore, previous studies limited their analysis to occipito-temporal regions without testing identity decoding in more anterior face-selective regions, such as the amygdala and prefrontal cortex. In the current high-resolution functional Magnetic Resonance Imaging study, we systematically examined the decoding of the identity of famous faces in the temporo-frontal network of face-selective and adjacent non-face-selective regions. A special focus has been put on the face-area in the anterior temporal lobe, which was reliably localized using an optimized scanning protocol. We found that face-identity could be discriminated above chance level only in the fusiform face area. Our results corroborate the role of the fusiform face area in face recognition. Future studies are needed to further explore the role of the more recently discovered anterior face-selective areas in face recognition.

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The face and cup stimuli used in the experiment.(A) Eight images of Benjamin Netanyahu (the prime minister of Israel) and eight images of Shimon Peres (the president of Israel). (B) Eight images of two cup types.
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pone.0117126.g002: The face and cup stimuli used in the experiment.(A) Eight images of Benjamin Netanyahu (the prime minister of Israel) and eight images of Shimon Peres (the president of Israel). (B) Eight images of two cup types.

Mentions: The experiment included images of two categories: faces and cups. All the images were grey-scaled. The faces were of two Israeli highly familiar politicians: Benjamin Netanyahu (the prime minister of Israel) and Shimon Peres (the president of Israel) (Fig. 2A); the cups were of two different types (Fig. 2B). We verified with each of the participants before including them in the experiment that they are familiar with the two famous faces included in the experiment. Each face identity/cup type was represented by 8 different images. The face pictures were taken on different occasions mostly from front view (up to ∼10° of view angle rotation) with neutral expression. The cups were pictures taken from different views. Face images were collected from various Internet sources. Images of cups were from ETH80 dataset (https://www.d2.mpi-inf.mpg.de/Datasets/ETH80) [40]. The pictures of faces and cups were first cropped from the background. Then luminance and color between all images was adjusted using “match color” function of Photoshop CS2. Finally, a white monotonic background was added to all images. The size of all stimuli was 7x7 degrees of visual angle.


Successful decoding of famous faces in the fusiform face area.

Axelrod V, Yovel G - PLoS ONE (2015)

The face and cup stimuli used in the experiment.(A) Eight images of Benjamin Netanyahu (the prime minister of Israel) and eight images of Shimon Peres (the president of Israel). (B) Eight images of two cup types.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4340964&req=5

pone.0117126.g002: The face and cup stimuli used in the experiment.(A) Eight images of Benjamin Netanyahu (the prime minister of Israel) and eight images of Shimon Peres (the president of Israel). (B) Eight images of two cup types.
Mentions: The experiment included images of two categories: faces and cups. All the images were grey-scaled. The faces were of two Israeli highly familiar politicians: Benjamin Netanyahu (the prime minister of Israel) and Shimon Peres (the president of Israel) (Fig. 2A); the cups were of two different types (Fig. 2B). We verified with each of the participants before including them in the experiment that they are familiar with the two famous faces included in the experiment. Each face identity/cup type was represented by 8 different images. The face pictures were taken on different occasions mostly from front view (up to ∼10° of view angle rotation) with neutral expression. The cups were pictures taken from different views. Face images were collected from various Internet sources. Images of cups were from ETH80 dataset (https://www.d2.mpi-inf.mpg.de/Datasets/ETH80) [40]. The pictures of faces and cups were first cropped from the background. Then luminance and color between all images was adjusted using “match color” function of Photoshop CS2. Finally, a white monotonic background was added to all images. The size of all stimuli was 7x7 degrees of visual angle.

Bottom Line: We found that face-identity could be discriminated above chance level only in the fusiform face area.Our results corroborate the role of the fusiform face area in face recognition.Future studies are needed to further explore the role of the more recently discovered anterior face-selective areas in face recognition.

View Article: PubMed Central - PubMed

Affiliation: School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel.

ABSTRACT
What are the neural mechanisms of face recognition? It is believed that the network of face-selective areas, which spans the occipital, temporal, and frontal cortices, is important in face recognition. A number of previous studies indeed reported that face identity could be discriminated based on patterns of multivoxel activity in the fusiform face area and the anterior temporal lobe. However, given the difficulty in localizing the face-selective area in the anterior temporal lobe, its role in face recognition is still unknown. Furthermore, previous studies limited their analysis to occipito-temporal regions without testing identity decoding in more anterior face-selective regions, such as the amygdala and prefrontal cortex. In the current high-resolution functional Magnetic Resonance Imaging study, we systematically examined the decoding of the identity of famous faces in the temporo-frontal network of face-selective and adjacent non-face-selective regions. A special focus has been put on the face-area in the anterior temporal lobe, which was reliably localized using an optimized scanning protocol. We found that face-identity could be discriminated above chance level only in the fusiform face area. Our results corroborate the role of the fusiform face area in face recognition. Future studies are needed to further explore the role of the more recently discovered anterior face-selective areas in face recognition.

Show MeSH