UNLABELLED Despite rapid development of research on social cognition (SC) impairments in schizophrenia, efforts are still made to generate new, broader theoretical models which include the neural network approach to those dysfunctions. The aim of this study was the evaluation of the structure of SC in patients with schizophrenia in comparison to healthy subjects. METHODS The studied groups co...

OBJECTIVE: To provide an overview of current cognitive learning processes, including a summary of research that supports the use of specific instructional methods to foster those processes. We have developed examples in athletic training education to help illustrate these methods where appropriate. DATA SOURCES: Sources used to compile this information included knowledge base and oral and didac...

A relatively recent advance in cognitive neuroscience has been multi-voxel pattern analysis (MVPA), which enables researchers to decode brain states and/or the type of information represented in the brain during a cognitive operation. MVPA methods utilize machine learning algorithms to distinguish among types of information or cognitive states represented in the brain, based on distributed patt...

The sense of time is an essential capacity of humans, with a major role in many of the cognitive processes expressed in our daily lifes. So far, in cognitive science and robotics research, mental capacities have been investigated in a theoretical and modeling framework that largely neglects the flow of time. Only recently there has been a rather limited, but constantly increasing interest in th...

This work is based on a terminological ontology method proposed by Madsen et al. (2004; 2005). The main purpose is to bridge a semantic relation between domain specific terms in two languages by mapping two language-dependent terminological ontologies. To explain why this method is preferable from the view of the cognitive process in translation, the terminological ontology method is contrasted...

This brief chapter provides an overview of the book. A sketch is provided of the sharp contrast between the popular view that cognition is relatively static and the view in the discipline that cognition is highly dynamic. This provides the high-level theme of the entire book. Weaving throughout the book are several other more specific themes, notably the roles of consciousness and of inhibition...

The design of an electronic system with the recommendation functional architecture is described and the results of system learning with inputs simulating visual and verbal sensory inputs are presented. The differences from other cognitive architectural approaches are discussed, and it is emphasized that the recommendation architecture makes it possible for a system performing a complex combinat...

The results of 2 electroencephalographic studies confirm Component Process Model (CPM) predictions that different appraisal checks have specific brain state correlates, occur rapidly in a brief time window after stimulation, and produce results that occur in sequential rather than parallel fashion. The data are compatible with the assumption that early checks (novelty and intrinsic pleasantness...

Inferences we make about underlying cognitive processes can be jeopardized in two ways due to problematic forms of aggregation. First, averaging across individuals is typically considered a very useful tool for removing random variability. The threat is that averaging across subjects leads to averaging across different cognitive strategies, thus harming our inferences. The second threat comes f...

The quality and safety of health care are under increasing scrutiny. Recent studies suggest that medical errors, practice variability, and guideline noncompliance are common, and that cognitive error contributes significantly to delayed or incorrect diagnoses. These observations have increased interest in understanding decision-making psychology.Many nonrational (i.e., not purely based in stati...