AIMC Topic: Cognition

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Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns.

Cell reports. Medicine Dec 21, 2021
Trajectories of cognitive decline vary considerably among individuals with mild cognitive impairment (MCI). To address this heterogeneity, subtyping approaches have been developed, with the objective of identifying more homogeneous subgroups. To date...
Atrophy Cognitive Dysfunction Cohort Studies Cognition Positron-Emission Tomography Male Deep Learning Aged Biomarkers Brain Female Reproducibility of Results Humans
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Event parsing and the origins of grammar.

Wiley interdisciplinary reviews. Cognitive science Dec 20, 2021
How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed to enable grammar. The present analysis departs from the observation that linguistic communication is structured in terms of agents and patients, a r...
Artificial Intelligence Language Humans Semantics Linguistics Animals Cognition
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London taxi drivers: A review of neurocognitive studies and an exploration of how they build their cognitive map of London.

Hippocampus Dec 16, 2021
Licensed London taxi drivers have been found to show changes in the gray matter density of their hippocampus over the course of training and decades of navigation in London (UK). This has been linked to their learning and using of the "Knowledge of L...
London Spatial Learning Cognition Magnetic Resonance Imaging Humans Artificial Intelligence
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Natural Language Processing markers in first episode psychosis and people at clinical high-risk.

Translational psychiatry Dec 13, 2021
Recent work has suggested that disorganised speech might be a powerful predictor of later psychotic illness in clinical high risk subjects. To that end, several automated measures to quantify disorganisation of transcribed speech have been proposed. ...
Natural Language Processing Humans Psychotic Disorders Biomarkers Speech Cognition
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Design and Development of an AIoT Architecture for Introducing a Vessel ETA Cognitive Service in a Legacy Port Management Solution.

Sensors (Basel, Switzerland) Dec 5, 2021
Current Internet of Things (IoT) stacks are frequently focused on handling an increasing volume of data that require a sophisticated interpretation through analytics to improve decision making and thus generate business value. In this paper, a cognit...
Cognition Internet of Things Artificial Intelligence Technology
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Vision-Based Driver's Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning.

Sensors (Basel, Switzerland) Nov 30, 2021
Due to the advancement of science and technology, modern cars are highly technical, more activity occurs inside the car and driving is faster; however, statistics show that the number of road fatalities have increased in recent years because of drive...
Cognition Accidents, Traffic Humans Deep Learning Automobile Driving Machine Learning Eye Movements
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Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion.

Topics in cognitive science Nov 27, 2021
The study of human cognition and the study of artificial intelligence (AI) have a symbiotic relationship, with advancements in one field often informing or creating new work in the other. Human cognition has many capabilities modern AI systems cannot...
Artificial Intelligence Cognition Humans
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A Robotic Cognitive Control Framework for Collaborative Task Execution and Learning.

Topics in cognitive science Nov 26, 2021
In social and service robotics, complex collaborative tasks are expected to be executed while interacting with humans in a natural and fluent manner. In this scenario, the robotic system is typically provided with structured tasks to be accomplished,...
Learning Humans Robotics Cognition
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Attentional load classification in multiple object tracking task using optimized support vector machine classifier: a step towards cognitive brain-computer interface.

Journal of medical engineering & technology Nov 26, 2021
Cognitive brain-computer interface (cBCI) is an emerging area with applications in neurorehabilitation and performance monitoring. cBCI works on the cognitive brain signal that does not require a person to pay much effort unlike the motor brain-compu...
Humans Cognition Support Vector Machine Brain-Computer Interfaces Electroencephalography Attention
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Neural population geometry: An approach for understanding biological and artificial neural networks.

Current opinion in neurobiology Nov 19, 2021
Advances in experimental neuroscience have transformed our ability to explore the structure and function of neural circuits. At the same time, advances in machine learning have unleashed the remarkable computational power of artificial neural network...
Cognition Machine Learning Neural Networks, Computer Neurons Brain
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