AI Medical Compendium Topic:
Cognition

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Cognetics: Robotic Interfaces for the Conscious Mind.

Trends in cognitive sciences
Cognetics joins the cognitive neuroscience of bodily awareness with robotics to study, control, and enhance perception, cognition, and consciousness. We highlight robot-controlled bodily perception, conscious states, and social interactions and sketc...

Using Self-Organizing Neural Network Map Combined with Ward's Clustering Algorithm for Visualization of Students' Cognitive Structural Models about Aliveness Concept.

Computational intelligence and neuroscience
We propose an approach to clustering and visualization of students' cognitive structural models. We use the self-organizing map (SOM) combined with Ward's clustering to conduct cluster analysis. In the study carried out on 100 subjects, a conceptual ...

Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...

Early Childhood Behavioral Inhibition Predicts Cortical Thickness in Adulthood.

Journal of the American Academy of Child and Adolescent Psychiatry
OBJECTIVE: Behavioral inhibition (BI) during early childhood predicts risk for anxiety disorders and altered cognitive control in adolescence. Although BI has been linked to variation in brain function through adulthood, few studies have examined rel...

A Spiking Neural Network Methodology and System for Learning and Comparative Analysis of EEG Data From Healthy Versus Addiction Treated Versus Addiction Not Treated Subjects.

IEEE transactions on bio-medical engineering
UNLABELLED: This paper introduces a method utilizing spiking neural networks (SNN) for learning, classification, and comparative analysis of brain data. As a case study, the method was applied to electroencephalography (EEG) data collected during a G...

Do infants perceive the social robot Keepon as a communicative partner?

Infant behavior & development
This study investigates if infants perceive an unfamiliar agent, such as the robot Keepon, as a social agent after observing an interaction between the robot and a human adult. 23 infants, aged 9-17 month, were exposed, in a first phase, to either a ...

Goal-oriented robot navigation learning using a multi-scale space representation.

Neural networks : the official journal of the International Neural Network Society
There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nat...

Development of the brain's structural network efficiency in early adolescence: A longitudinal DTI twin study.

Human brain mapping
The brain is a network and our intelligence depends in part on the efficiency of this network. The network of adolescents differs from that of adults suggesting developmental changes. However, whether the network changes over time at the individual l...

Test-retest reliability of KINARM robot sensorimotor and cognitive assessment: in pediatric ice hockey players.

Journal of neuroengineering and rehabilitation
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early diagnosis and management of concussion across the continuum of aging but particularly in children and adolescents. The purpose of the current study was t...