AIMC Topic: Cognition

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Classification of mental workload using brain connectivity and machine learning on electroencephalogram data.

Scientific reports Apr 21, 2024
Mental workload refers to the cognitive effort required to perform tasks, and it is an important factor in various fields, including system design, clinical medicine, and industrial applications. In this paper, we propose innovative methods to assess...
Humans Workload Adult Male Support Vector Machine Electroencephalography Cognition Brain Female Young Adult Machine Learning Algorithms
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Late Life Cognitive Function Trajectory Among the Chinese Oldest-Old Population-A Machine Learning Approach.

Journal of gerontological social work Apr 8, 2024
Informed by the biopsychosocial framework, our study uses the Chinese Longitudinal Healthy Longevity Survey (CLHLS) dataset to examine cognitive function trajectories among the oldest-old (80+). Employing K-means clustering, we identified two latent ...
Machine Learning Female Aged, 80 and over Humans Cognition Longitudinal Studies East Asian People Male China
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Biomimetic Electronic Skin for Robots Aiming at Superior Dynamic-Static Perception and Material Cognition Based on Triboelectric-Piezoresistive Effects.

Nano letters Mar 25, 2024
Empowering robots with tactile perception and even thinking as well as judgment capabilities similar to those of humans is an inevitable path for the development of future robots. Here, we propose a biomimetic electronic skin (BES) that truly serves ...
Alkanesulfonic Acids Biomimetics Perception Cognition Robotics Humans Wearable Electronic Devices
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A number sense as an emergent property of the manipulating brain.

Scientific reports Mar 21, 2024
The ability to understand and manipulate numbers and quantities emerges during childhood, but the mechanism through which humans acquire and develop this ability is still poorly understood. We explore this question through a model, assuming that the ...
Cognition Visual Perception Brain Learning Humans Artificial Intelligence
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Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer's disease in patients with mild cognitive symptoms.

Alzheimer's research & therapy Mar 19, 2024
BACKGROUND: Predicting future Alzheimer's disease (AD)-related cognitive decline among individuals with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) is an important task for healthcare. Structural brain imaging as measured by...
Alzheimer Disease Atrophy Cognition Magnetic Resonance Imaging Humans Disease Progression Deep Learning Cognitive Dysfunction Biomarkers Brain
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Prediction of cognitive conflict during unexpected robot behavior under different mental workload conditions in a physical human-robot collaboration.

Journal of neural engineering Mar 19, 2024
. Brain-computer interface (BCI) technology is poised to play a prominent role in modern work environments, especially a collaborative environment where humans and machines work in close proximity, often with physical contact. In a physical human rob...
Humans Cognition Workload Brain-Computer Interfaces Robotics Electroencephalography
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Bayesian inference is facilitated by modular neural networks with different time scales.

PLoS computational biology Mar 13, 2024
Various animals, including humans, have been suggested to perform Bayesian inferences to handle noisy, time-varying external information. In performing Bayesian inference by the brain, the prior distribution must be acquired and represented by sampli...
Neural Networks, Computer Brain Cognition Bayes Theorem Animals Humans Neurons
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Detecting cognitive traits and occupational proficiency using EEG and statistical inference.

Scientific reports Mar 7, 2024
Machine learning (ML) is widely used in classification tasks aimed at detecting various cognitive states or neurological diseases using noninvasive electroencephalogram (EEG) time series. However, successfully detecting specific cognitive skills in a...
Machine Learning Cognition Electroencephalography Humans
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Artificial intelligence and illusions of understanding in scientific research.

Nature Mar 6, 2024
Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might improve research. Why are AI tools so attractive and what are the risks of implementing them across the research pipeline? Here we develop a taxonomy of ...
Knowledge Illusions Research Personnel Risk Cognition Diffusion of Innovation Humans Artificial Intelligence Reproducibility of Results Efficiency Research Design
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Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data.

Scientific reports Mar 4, 2024
This study utilizes advanced artificial intelligence techniques to analyze the social media behavior of 1358 users on VK, the largest Russian online social networking service. The analysis comprises 753,252 posts and reposts, combined with Big Five p...
Social Networking Consciousness Thinking Artificial Intelligence Cognition Humans
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