scholarly journals The Anterior Temporal Face Area Contains Invariant Representations of Face Identity That Can Persist Despite the Loss of Right FFA and OFA

2014 ◽  
Vol 26 (3) ◽  
pp. 1096-1107 ◽  
Author(s):  
Hua Yang ◽  
Tirta Susilo ◽  
Bradley Duchaine
Keyword(s):  
Face Identity ◽  
Face Area ◽  
Invariant Representations

scholarly journals Invariant representations of face identity in the ATL

2014 ◽  
Vol 14 (10) ◽  
pp. 1451-1451
Author(s):  
S. Anzellotti ◽  
A. Caramazza
Keyword(s):  
Face Identity ◽  
Invariant Representations

scholarly journals The neural dynamics of familiar face recognition

2018 ◽  
Author(s):  
Géza Gergely Ambrus ◽  
Daniel Kaiser ◽  
Radoslaw Martin Cichy ◽  
Gyula Kovács
Keyword(s):  
Face Recognition ◽  
Visual Processing ◽  
Right Hemisphere ◽  
Temporal Cortex ◽  
Real Life ◽  
Same Sex ◽  
Identity Information ◽  
Face Identity ◽  
Familiar Face ◽  
Invariant Representations

AbstractIn real-life situations, the appearance of a person’s face can vary substantially across different encounters, making face recognition a challenging task for the visual system. Recent fMRI decoding studies have suggested that face recognition is supported by identity representations located in regions of the occipito-temporal cortex. Here, we used EEG to elucidate the temporal emergence of these representations. Human participants (both sexes) viewed a set of highly variable face images of four highly familiar celebrities (two male, two female), while performing an orthogonal task. Univariate analyses of event-related EEG responses revealed a pronounced differentiation between male and female faces, but not between identities of the same sex. Using multivariate representational similarity analysis, we observed a gradual emergence of face identity representations, with an increasing degree of invariance. Face identity information emerged rapidly, starting shortly after 100ms from stimulus onset. From 400ms after onset and predominantly in the right hemisphere, identity representations showed two invariance properties: (1) they equally discriminated identities of opposite sexes and of the same sex, and (2) they were tolerant to image-based variations. These invariant representations may be a crucial prerequisite for successful face recognition in everyday situations, where the appearance of a familiar person can vary drastically.Significance StatementRecognizing the face of a friend on the street is a task we effortlessly perform in our everyday lives. However, the necessary visual processing underlying familiar face recognition is highly complex. As the appearance of a given person varies drastically between encounters, for example across viewpoints or emotional expressions, the brain needs to extract identity information that is invariant to such changes. Using multivariate analyses of EEG data, we characterize how invariant representations of face identity emerge gradually over time. After 400ms of processing, cortical representations reliably differentiated two similar identities (e.g., two famous male actors), even across a set of highly variable images. These representations may support face recognition under challenging real-life conditions.

scholarly journals Causal evidence of the involvement of the right occipital face area in face-identity acquisition

NeuroImage ◽  
2017 ◽  
Vol 148 ◽  
pp. 212-218 ◽  
Author(s):  
Géza Gergely Ambrus ◽  
Fabienne Windel ◽  
A. Mike Burton ◽  
Gyula Kovács
Keyword(s):  
Face Identity ◽  
Face Area ◽  
Occipital Face Area ◽  
The Right

scholarly journals Critical Examination of the Parametric Approaches to Analysis of the Non-Verbal Human Behavior: A Case Study in Facial Pre-Touch Interaction

2020 ◽  
Vol 10 (11) ◽  
pp. 3817
Author(s):  
Soheil Keshmiri ◽  
Masahiro Shiomi ◽  
Kodai Shatani ◽  
Takashi Minato ◽  
Hiroshi Ishiguro
Keyword(s):  
Normal Distribution ◽  
Human Subjects ◽  
Critical Examination ◽  
Reliable Estimate ◽  
Support Vector ◽  
Face Area ◽  
Behavioral Studies ◽  
Touch Interaction ◽  
Ordinary Regression ◽  
Simplifying Assumptions

A prevailing assumption in many behavioral studies is the underlying normal distribution of the data under investigation. In this regard, although it appears plausible to presume a certain degree of similarity among individuals, this presumption does not necessarily warrant such simplifying assumptions as average or normally distributed human behavioral responses. In the present study, we examine the extent of such assumptions by considering the case of human–human touch interaction in which individuals signal their face area pre-touch distance boundaries. We then use these pre-touch distances along with their respective azimuth and elevation angles around the face area and perform three types of regression-based analyses to estimate a generalized facial pre-touch distance boundary. First, we use a Gaussian processes regression to evaluate whether assumption of normal distribution in participants’ reactions warrants a reliable estimate of this boundary. Second, we apply a support vector regression (SVR) to determine whether estimating this space by minimizing the orthogonal distance between participants’ pre-touch data and its corresponding pre-touch boundary can yield a better result. Third, we use ordinary regression to validate the utility of a non-parametric regressor with a simple regularization criterion in estimating such a pre-touch space. In addition, we compare these models with the scenarios in which a fixed boundary distance (i.e., a spherical boundary) is adopted. We show that within the context of facial pre-touch interaction, normal distribution does not capture the variability that is exhibited by human subjects during such non-verbal interaction. We also provide evidence that such interactions can be more adequately estimated by considering the individuals’ variable behavior and preferences through such estimation strategies as ordinary regression that solely relies on the distribution of their observed behavior which may not necessarily follow a parametric distribution.

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