Toward a BICA-Model-Based Study of Cognition Using Brain Imaging Techniques

The aim of this study is to develop an approach to evaluation of a biologically inspired, causal model of cognition that exposes the mechanistic requirements for achieving fluid intelligence and makes testable predictions of neurophysiological measures. In order to build human-level-efficient tools for data analysis, it is necessary to have a theory of how concepts are represented in the human brain. This theory should specify (a) the structure and semantics of concept representations in the human brain, and (b) types, formats and specific patterns of neuronal activity instantiating these representations. The key to a biologically-informed human brain model begins with the mapping of (a) to (b), i.e., of the emotional Biologically Inspired Cognitive Architecture (eBICA) to informative features and characteristics of brain activity. The result is a detailed description of the information processing level of the dynamics of emotional evaluation of other agents and relationships with them in the process of joint activities, and the role of this evaluation in decision-making and generation of behavior based on the selected emotional cognitive architecture.