AIMC Topic: Cognition

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Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts.

Nature communications Feb 1, 2024
Early detection is critical to achieving improved treatment outcomes for child patients with congenital heart diseases (CHDs). Therefore, developing effective CHD detection techniques using low-cost and non-invasive pediatric electrocardiogram are hi...
Humans Cognition Electrocardiography Heart Defects, Congenital Deep Learning Child
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Navigation Learning Assessment Using EEG-Based Multi-Time Scale Spatiotemporal Compound Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jan 29, 2024
This study presents a novel method to assess the learning effectiveness using Electroencephalography (EEG)-based deep learning model. It is difficult to assess the learning effectiveness of professional courses in cultivating students' ability object...
Cognition Electroencephalography Algorithms Brain Neural Networks, Computer Machine Learning Humans
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Exploring new horizons: Emerging therapeutic strategies for pediatric stroke.

Experimental neurology Jan 24, 2024
Pediatric stroke presents unique challenges, and optimizing treatment strategies is essential for improving outcomes in this vulnerable population. This review aims to provide an overview of new, innovative, and potential treatments for pediatric str...
Stroke Stroke Rehabilitation Recovery of Function Robotics Child Cognition Humans
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Designing optimal behavioral experiments using machine learning.

eLife Jan 23, 2024
Computational models are powerful tools for understanding human cognition and behavior. They let us express our theories clearly and precisely and offer predictions that can be subtle and often counter-intuitive. However, this same richness and abili...
Awareness Computer Simulation Humans Cognition Machine Learning Bayes Theorem
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Connectome-based reservoir computing with the conn2res toolbox.

Nature communications Jan 22, 2024
The connection patterns of neural circuits form a complex network. How signaling in these circuits manifests as complex cognition and adaptive behaviour remains the central question in neuroscience. Concomitant advances in connectomics and artificial...
Connectome Adaptation, Psychological Brain Cognition Artificial Intelligence
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Development of the next-generation functional neuro-cognitive imaging protocol - Part 1: A 3D sliding-window convolutional neural net for automated brain parcellation.

NeuroImage Jan 14, 2024
Functional MRI has emerged as a powerful tool to assess the severity of Post-concussion syndrome (PCS) and to provide guidance for neuro-cognitive therapists during treatment. The next-generation functional neuro-cognitive imaging protocol (fNCI2) ha...
Neural Networks, Computer Brain Humans Cognition Magnetic Resonance Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Robotic assessment of sensorimotor and cognitive deficits in patients with temporal lobe epilepsy.

Epilepsy & behavior : E&B Jan 5, 2024
OBJECTIVE: Individuals with temporal lobe epilepsy (TLE) frequently demonstrate impairments in executive function, working memory, and/or declarative memory. It is recommended that screening for cognitive impairment is undertaken in all people newly ...
Epilepsy, Temporal Lobe Neuropsychological Tests Robotic Surgical Procedures Memory, Short-Term Humans Cognitive Dysfunction Robotics Cognition Epilepsy
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Supervised diagnostic classification of cognitive attributes using data augmentation.

PloS one Jan 5, 2024
Over recent decades, machine learning, an integral subfield of artificial intelligence, has revolutionized diverse sectors, enabling data-driven decisions with minimal human intervention. In particular, the field of educational assessment emerges as ...
Cognition Humans Artificial Intelligence Students Educational Measurement Computer Simulation
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Predicting low cognitive ability at age 5 years using perinatal data and machine learning.

Pediatric research Jan 4, 2024
BACKGROUND: There are no early, accurate, scalable methods for identifying infants at high risk of poor cognitive outcomes in childhood. We aim to develop an explainable predictive model, using machine learning and population-based cohort data, for t...
Machine Learning Female Humans Male Risk Assessment Infant Infant, Newborn Risk Factors Ireland Child Development ROC Curve Cognition Cohort Studies Child, Preschool
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Designing human-AI systems for complex settings: ideas from distributed, joint, and self-organising perspectives of sociotechnical systems and cognitive work analysis.

Ergonomics Jan 2, 2024
Real-world events like the COVID-19 pandemic and wildfires in Australia, Europe, and America remind us that the demands of complex operational settings are met by multiple, distributed teams interwoven with a large array of artefacts and networked te...
Europe Automation Humans Artificial Intelligence Pandemics Cognition
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