Within-hemifield perceptual averaging of facial expressions predicted by neural averaging.
نویسندگان
چکیده
High-level visual neurons in the ventral stream typically have large receptive fields, supporting position-invariant object recognition but entailing poor spatial resolution. Consequently, when multiple objects fall within their large receptive fields, unless selective attention is deployed, their responses are averages of responses to the individual objects. We investigated a behavioral consequence of this neural averaging in the perception of facial expressions. Two faces (7 degrees -apart) were briefly presented (100-ms, backward-masked) either within the same visual hemifield (within-hemifield condition) or in different hemifields (between-hemifield condition). Face pairs included happy, angry, and valence-neutral faces, and observers rated the emotional valence of a post-cued face. Perceptual averaging of facial expressions was predicted only for the within-hemifield condition because the receptive fields of 'face-tuned' neurons are primarily confined within the contralateral field; the between-hemifield condition served to control for post-perceptual effects. Consistent with averaging, valence-neutral faces appeared more positive when paired with a happy face than when paired with an angry face, and affective intensities of happy and angry faces were reduced by accompanying valence-neutral or opposite-valence faces, in the within-hemifield relative to the between-hemifield condition. We thus demonstrated within-hemifield perceptual averaging of a complex feature as predicted by neural averaging in the ventral visual stream.
منابع مشابه
Modelling the perceptual similarity of facial expressions from image statistics and neural responses
The ability to perceive facial expressions of emotion is essential for effective social communication. We investigated how the perception of facial expression emerges from the image properties that convey this important social signal, and how neural responses in face-selective brain regions might track these properties. To do this, we measured the perceptual similarity between expressions of ba...
متن کاملEvent-Related Potentials of Bottom-Up and Top-Down Processing of Emotional Faces
Introduction: Emotional stimulus is processed automatically in a bottom-up way or can be processed voluntarily in a top-down way. Imaging studies have indicated that bottom-up and top-down processing are mediated through different neural systems. However, temporal differentiation of top-down versus bottom-up processing of facial emotional expressions has remained to be clarified. The present st...
متن کاملPerceptually Valid Facial Expressions for Character-Based Applications
This paper addresses the problem of creating facial expression of mixed emotions in a perceptually valid way. The research has been done in the context of a “game-like” health and education applications aimed at studying social competency and facial expression awareness in autistic children as well as native language learning, but the results can be applied to many other applications such as ga...
متن کاملUAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کاملStiffness Prediction of Beech Wood Flour Polypropylene Composite by using Proper Fiber Orientation Distribution Function
One of the most famous methods to predict the stiffness of short fiber composites is micromechanical modeling. In this study, a Representative Volume Element (RVE) of a beech wood flour natural composite has been designed and the orientation averaging approach has been utilized to predict its stiffness tensor. The novelty of this work is in finding the proper fiber orientation distribution func...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of vision
دوره 9 3 شماره
صفحات -
تاریخ انتشار 2009