Infant joint attention, neural networks and social cognition

Infant joint attention, neural networks and social cognition

Neural network models of attention can provide a unifying approach to the study of human cognitive and emotional development (Posner & Rothbart, 2007). In this paper we argue that a neural network approach to the infant development of joint attention can inform our understanding of the nature of human social learning, symbolic thought process and social cognition. At its most basic, joint atten...

Attention, Joint Attention, and Social Cognition.

Before social cognition there is joint processing of information about the attention of self and others. This joint attention requires the integrated activation of a distributed cortical network involving the anterior and posterior attention systems. In infancy, practice with the integrated activation of this distributed attention network is a major contributor to the development of social cogn...

Joint Attention, Social-Cognition, and Recognition Memory in Adults

The early emerging capacity for Joint Attention (JA), or socially coordinated visual attention, is thought to be integral to the development of social-cognition in childhood. Recent studies have also begun to suggest that JA affects adult cognition as well, but methodological limitations hamper research on this topic. To address this issue we developed a novel virtual reality paradigm that inte...

Attention, Perception, and Social Cognition

A parallel and distributed-processing model of joint attention, social cognition and autism.

The impaired development of joint attention is a cardinal feature of autism. Therefore, understanding the nature of joint attention is central to research on this disorder. Joint attention may be best defined in terms of an information-processing system that begins to develop by 4-6 months of age. This system integrates the parallel processing of internal information about one's own visual atte...