AIMC Topic: Cognition

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Comparing effects of wearable robot-assisted gait training on functional changes and neuroplasticity: A preliminary study.

PloS one Dec 5, 2024
Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elderly adults and patients with gait disorders by enabling high-intensive and task-specific training. Gait functions involve multiple brain regions and ne...
Cognition Adult Magnetic Resonance Imaging Humans Male Robotics Gait Female Wearable Electronic Devices Walking Exoskeleton Device Neuronal Plasticity
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Cognitive process and information processing model based on deep learning algorithms.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2024
According to the developmental process of infants, cognitive abilities are divided into four stages: the Exploration Stage (ES), the Mapping Stage (MS), the Phenomena-causality Stage (PCS), and the Essence-causality Stage (ECS). The MS is a training ...
Algorithms Animals Deep Learning Mental Processes Humans Cognition Neural Networks, Computer
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Active Inference and Deep Generative Modeling for Cognitive Ultrasound.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Ultrasound (US) has the unique potential to offer access to medical imaging to anyone, everywhere. Devices have become ultraportable and cost-effective, akin to the stethoscope. Nevertheless, and despite many advances, US image quality and diagnostic...
Brain Humans Image Processing, Computer-Assisted Ultrasonography Deep Learning Algorithms Cognition
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Moral Association Graph: A Cognitive Model for Automated Moral Inference.

Topics in cognitive science Nov 25, 2024
Automated moral inference is an emerging topic of critical importance in artificial intelligence. The contemporary approach typically relies on language models to infer moral relevance or moral properties of a concept. This approach demands complex p...
Humans Artificial Intelligence Cognition Morals Models, Psychological
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Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes.

Journal of Alzheimer's disease : JAD Nov 25, 2024
BACKGROUND: Alzheimer's disease (AD) is strongly associated with slowly progressive hippocampal atrophy. Elucidating the relationships between local morphometric changes and disease status for early diagnosis could be aided by machine learning algori...
Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Hippocampus Organ Size Male Humans Cognitive Dysfunction Machine Learning Cognition Female Neuropsychological Tests Aged Neuroimaging Aged, 80 and over Multivariate Analysis
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Self-Supervised Learning for Near-Wild Cognitive Workload Estimation.

Journal of medical systems Nov 22, 2024
Feedback on cognitive workload may reduce decision-making mistakes. Machine learning-based models can produce feedback from physiological data such as electroencephalography (EEG) and electrocardiography (ECG). Supervised machine learning requires la...
Electroencephalography Workload Electrocardiography Supervised Machine Learning Humans Cognition
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Moral enhancement and cheapened achievement: Psychedelics, virtual reality and AI.

Bioethics Nov 20, 2024
A prominent critique of cognitive or athletic enhancement claims that certain performance-improving drugs or technologies may 'cheapen' resulting achievements. Considerably less attention has been paid to the impact of enhancement on the value of mor...
Empathy Achievement Biomedical Enhancement Morals Moral Development Humans Artificial Intelligence Cognition Hallucinogens Virtual Reality
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Neuromorphic engineering: Artificial brains for artificial intelligence.

Annals of the New York Academy of Sciences Nov 20, 2024
Neuromorphic engineering is a research discipline that tries to bridge the gaps between neuroscience and engineering, cognition and algorithms, and natural and artificial intelligence. Neuromorphic engineering promises revolutionary breakthroughs tha...
Brain Cognition Neurosciences Artificial Intelligence Algorithms Humans Neural Networks, Computer
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Simple Recurrent Networks are Interactive.

Psychonomic bulletin & review Nov 13, 2024
There is disagreement among cognitive scientists as to whether a key computational framework - the Simple Recurrent Network (SRN; Elman, Machine Learning, 7(2), 195-225, 1991; Elman, Cognitive Science, 14(2), 179-211, 1990) - is a feedforward system....
Neural Networks, Computer Cognition Psycholinguistics Humans
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Depression diagnosis: EEG-based cognitive biomarkers and machine learning.

Behavioural brain research Nov 6, 2024
Depression is a complex mental illness that has significant effects on people as well as society. The traditional techniques for the diagnosis of depression, along with the potential of nascent biomarkers especially EEG-based biomarkers, are studied....
Biomarkers Brain Depression Humans Machine Learning Depressive Disorder Cognition Electroencephalography
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