AIMC Topic: Cognition

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The Ethics of Supernumerary Robotic Limbs. An Enactivist Approach.

Science and engineering ethics Nov 14, 2022
Supernumerary robotic limbs are innovative devices in the field of wearable robotics which can provide humans with unprecedented sensorimotor abilities. However, scholars have raised awareness of the ethical issues that would arise from the large ado...
Cognition Robotics Humans
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Neuro-cognitive assessment of intentional control methods for a soft elbow exosuit using error-related potentials.

Journal of neuroengineering and rehabilitation Nov 11, 2022
Soft exosuits offer promise to support users in everyday workload tasks by providing assistance. However, acceptance of such systems remains low due to the difficulty of control compared with rigid mechatronic systems. Recently, there has been progre...
Cognition Robotics Biomechanical Phenomena Humans Exoskeleton Device Elbow
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Deep learning signature of brain [F]FDG PET associated with cognitive outcome of rapid eye movement sleep behavior disorder.

Scientific reports Nov 10, 2022
An objective biomarker to predict the outcome of isolated rapid eye movement sleep behavior disorder (iRBD) is crucial for the management. This study aimed to investigate cognitive signature of brain [F]FDG PET based on deep learning (DL) for evaluat...
REM Sleep Behavior Disorder Fluorodeoxyglucose F18 Deep Learning Brain Cognition Cognitive Dysfunction Humans
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Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.

International journal of public health Nov 10, 2022
In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to predict low cognitive ability at 5 years of age and to identify the important predictive features. Data was from 1,070 participants in the Irish pop...
Machine Learning Cognition Algorithms Humans Child, Preschool Birth Cohort Cohort Studies
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Capturing advanced human cognitive abilities with deep neural networks.

Trends in cognitive sciences Nov 2, 2022
How can artificial neural networks capture the advanced cognitive abilities of pioneering scientists? I suggest they must learn to exploit human-invented tools of thought and human-like ways of using them, and must engage in explicit goal-directed pr...
Humans Cognition Problem Solving Learning Neural Networks, Computer
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ognitive utcomes in the ragmatic nvestigation of optimaxygen argets (CO-PILOT) trial: protocol and statistical analysis plan.

BMJ open Nov 1, 2022
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical illness among survivors who receive mechanical ventilation. Recommended oxygen targets during mechanical ventilation vary among international guidelines....
Cognition Critical Illness Oxygen Humans Quality of Life Randomized Controlled Trials as Topic
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LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing.

IEEE transactions on neural networks and learning systems Oct 27, 2022
Spiking neural networks (SNNs) based on the leaky integrate and fire (LIF) model have been applied to energy-efficient temporal and spatiotemporal processing tasks. Due to the bioplausible neuronal dynamics and simplicity, LIF-SNN benefits from event...
Neural Networks, Computer Neurons Cognition
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Embedding cognitive framework with self-attention for interpretable knowledge tracing.

Scientific reports Oct 20, 2022
Recently, deep neural network-based cognitive models such as deep knowledge tracing have been introduced into the field of learning analytics and educational data mining. Despite an accurate predictive performance of such models, it is challenging to...
Humans Attention Knowledge Learning Cognition Neural Networks, Computer
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Multi-Aspect enhanced Graph Neural Networks for recommendation.

Neural networks : the official journal of the International Neural Network Society Oct 14, 2022
Graph neural networks (GNNs) have achieved remarkable performance in personalized recommendation, for their powerful data representation capabilities. However, these methods still face several challenging problems: (1) the majority of user-item inter...
Semantics Learning Neural Networks, Computer Cognition
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Automated Cognitive Health Assessment Using Partially Complete Time Series Sensor Data.

Methods of information in medicine Oct 11, 2022
BACKGROUND: Behavior and health are inextricably linked. As a result, continuous wearable sensor data offer the potential to predict clinical measures. However, interruptions in the data collection occur, which create a need for strategic data imputa...
Time Factors Data Collection Cognition Algorithms Humans Machine Learning
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