Emotions are viewed as having evolved through their adaptive value in dealing with fundamental life-tasks. Each emotion has unique features: signal, physiology, and antecedent events. Each emotion also has characteristics in common with other emotions: rapid onset, short duration, unbidden occurrence, automatic appraisal, and coherence among responses. These shared and unique characteristics are the product of our evolution, and distinguish emotions from other affective phenomena.

Face perception, perhaps the most highly developed visual skill in humans, is mediated by a distributed neural system in humans that is comprised of multiple, bilateral regions. We propose a model for the organization of this system that emphasizes a distinction between the representation of invariant and changeable aspects of faces. The representation of invariant aspects of faces underlies the recognition of individuals, whereas the representation of changeable aspects of faces, such as eye gaze, expression, and lip movement, underlies the (...) perception of information that facilitates social communication. The model is also hierarchical insofar as it is divided into a core system and an extended system. The core system is comprised of occipitotemporal regions in extrastriate visual cortex that mediate the visual analysis of faces. In the core system, the representation of invariant aspects is mediated more by the face-responsive region in the fusiform gyrus, whereas the representation of changeable aspects is mediated more by the face-responsive region in the superior temporal sulcus. The extended system is comprised of regions from neural systems for other cognitive functions that can be recruited to act in concert with the regions in the core system to extract meaning from faces. (shrink)

Face perception plays a central role in social communication and is, arguably, one of the most sophisticated visual perceptual skills in humans. The organization of neural systems for face perception has stimulated intense debate. This article presents an updated model of distributed human neural systems for face perception. It opens up with a discussion of the Core System for visual analysis of faces with an emphasis on the distinction between perception of invariant features for identity recognition and changeable features for (...) recognition of facial gestures such as expression and eye gaze. The study analyses the roles of systems for the representation of emotion, for person knowledge, and for action understanding in face recognition and perception of expression and gaze. It presents systems that are of particular relevance for social communication and that are illustrative of how distributed systems are engaged by face perception. It concludes with a discussion of modularity and distributed processing in neural representation. (shrink)

The multitude of facial expressions that humans are capable of is particularly potent in capturing attention. Facial expressions provide crucial information regarding a person's internal state and intentions and therefore the rapid recognition of these expressions can facilitate efficient social interaction. This article reviews evidence from a number of domains and argues that common personality traits—that are distributed normally in the general population—can have a profound influence on the processing of facial expressions. It synthesizes data from behavioral and neuroimaging research (...) to illustrate that these personality traits are an important determinant of emotion processing. The article focuses on the processing of facial emotional expressions paying particular attention to the influence of common personality traits in influencing emotion processing. A complete understanding of the cognitive and neural mechanisms involved in the processing of facial expressions, should take individual differences in personality traits into account. (shrink)

Facial expressions have communicative properties that bear some importance to perceivers. Such expressions are informative with respect to the future behavior of the expressing individual and with respect to the conditions of the broader social environment. This article argues that appropriate responses to facial expressions are an important means by which people adapt to their social ecology. The immediate responses to facial expressions depend on contextual factors. It is more important for individuals to adapt to the ingroup than to other (...) groups, for this reason people should exhibit special sensitivity to ingroup facial expressions. It reviews the literature regarding the role of context in the recognition of facial expressions and regarding group membership and emotion recognition, with a special emphasis on the role of culture. It focuses on facial expressions of emotion if only because of available empirical literature. (shrink)