AIMC Topic: Cognition

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Machine learning and individual variability in electric field characteristics predict tDCS treatment response.

Brain stimulation Oct 10, 2020
BACKGROUND: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delive...
Machine Learning Forecasting Brain Humans Aged, 80 and over Male Pilot Projects Female Aged Individuality Transcranial Direct Current Stimulation Magnetic Resonance Imaging Double-Blind Method Memory, Short-Term Cognition Treatment Outcome
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Engaging proactive control: Influences of diverse language experiences using insights from machine learning.

Journal of experimental psychology. General Oct 1, 2020
We used insights from machine learning to address an important but contentious question: Is bilingual language experience associated with executive control abilities? Specifically, we assess proactive executive control for over 400 young adult biling...
Adult Male Adolescent Female Young Adult Neuropsychological Tests Machine Learning Humans Cognition Language Multilingualism Reaction Time Executive Function
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A Cyber-Physical-Human System for One-to-Many UAS Operations: Cognitive Load Analysis.

Sensors (Basel, Switzerland) Sep 23, 2020
The continuing development of avionics for Unmanned Aircraft Systems (UASs) is introducing higher levels of intelligence and autonomy both in the flight vehicle and in the ground mission control, allowing new promising operational concepts to emerge....
Task Performance and Analysis Reproducibility of Results Cognition Humans Aircraft Artificial Intelligence
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Pattern Recognition of Cognitive Load Using EEG and ECG Signals.

Sensors (Basel, Switzerland) Sep 8, 2020
The matching of cognitive load and working memory is the key for effective learning, and cognitive effort in the learning process has nervous responses which can be quantified in various physiological parameters. Therefore, it is meaningful to explor...
Electroencephalography Pattern Recognition, Automated Algorithms Electrocardiography Support Vector Machine Cognition
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Multi-slice representational learning of convolutional neural network for Alzheimer's disease classification using positron emission tomography.

Biomedical engineering online Sep 7, 2020
BACKGROUND: Alzheimer's Disease (AD) is a degenerative brain disorder that often occurs in people over 65 years old. As advanced AD is difficult to manage, accurate diagnosis of the disorder is critical. Previous studies have revealed effective deep ...
Fluorodeoxyglucose F18 Sensitivity and Specificity Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Alzheimer Disease Cognition Humans Neural Networks, Computer
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Towards predictive neural network dynamical theory: Comment on "The growth of cognition: Free energy minimization and the embryogenesis of cortical computation" by Wright and Bourke.

Physics of life reviews Sep 3, 2020
Neural Networks, Computer Models, Neurological Embryonic Development Cognition
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The effects of light touch cue on gait initiation in patients with Parkinson's disease.

Journal of bodywork and movement therapies Sep 2, 2020
INTRODUCTION: One of the common impairments in patients with Parkinson's disease (PD) is disturbance of gait initiation. A light touch cue improves postural stability in patients with PD. Little is known about the effects of a light touch cue on gait...
Postural Balance Cognition Humans Gait Cross-Sectional Studies Parkinson Disease Cues
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Using Machine Learning to Train a Wearable Device for Measuring Students' Cognitive Load during Problem-Solving Activities Based on Electrodermal Activity, Body Temperature, and Heart Rate: Development of a Cognitive Load Tracker for Both Personal and Classroom Use.

Sensors (Basel, Switzerland) Aug 27, 2020
Automated tracking of physical fitness has sparked a health revolution by allowing individuals to track their own physical activity and health in real time. This concept is beginning to be applied to tracking of cognitive load. It is well known that ...
Cognition Humans Heart Rate Problem Solving Students Machine Learning Body Temperature Galvanic Skin Response Wearable Electronic Devices
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The EEG Signal Analysis for Spatial Cognitive Ability Evaluation Based on Multivariate Permutation Conditional Mutual Information-Multi-Spectral Image.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 24, 2020
This study aims to find an effective method to evaluate the efficacy of cognitive training of spatial memory under a virtual reality environment, by classifying the EEG signals of subjects in the early and late stages of spatial cognitive training. T...
Electroencephalography Neural Networks, Computer Cognition
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A Perspective from a Case Conference on Comparing the Diagnostic Process: Human Diagnostic Thinking vs. Artificial Intelligence (AI) Decision Support Tools.

International journal of environmental research and public health Aug 22, 2020
Artificial intelligence (AI) has made great contributions to the healthcare industry. However, its effect on medical diagnosis has not been well explored. Here, we examined a trial comparing the thinking process between a computer and a master in dia...
Japan Diagnosis Humans Artificial Intelligence Cognition
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