AIMC Topic: Cognition

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"Looking Under the Hood" of Anchor-Based Assessment of Clinically Important Change: A Machine Learning Approach.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research May 18, 2021
OBJECTIVES: The Global Assessment of Change (GAC) item has facilitated the interpretation of change in patient-reported outcomes, providing an anchor for computing minimally important differences. Construct validity has been documented via disease-sp...
Female Male Middle Aged Humans Machine Learning Caregivers Change Management Chronic Disease Sociodemographic Factors Patient Reported Outcome Measures Surveys and Questionnaires Cognition
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Deep learning and the Global Workspace Theory.

Trends in neurosciences May 14, 2021
Recent advances in deep learning have allowed artificial intelligence (AI) to reach near human-level performance in many sensory, perceptual, linguistic, and cognitive tasks. There is a growing need, however, for novel, brain-inspired cognitive archi...
Cognition Brain Neural Networks, Computer Humans Artificial Intelligence Deep Learning
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Comprehensible instructions from assistive robots for older adults with or without cognitive impairment.

Assistive technology : the official journal of RESNA May 3, 2021
The purpose of this study was to reveal comprehensible instructions from an assistive robot for older adults, across cognitive levels and characteristics. Participants included 19 older adults with or without cognitive impairment. We administered cog...
Humans Aged Robotics Activities of Daily Living Cognitive Dysfunction Self-Help Devices Cognition
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Interpretable Multimodal Fusion Networks Reveal Mechanisms of Brain Cognition.

IEEE transactions on medical imaging Apr 30, 2021
The combination of multimodal imaging and genomics provides a more comprehensive way for the study of mental illnesses and brain functions. Deep network-based data fusion models have been developed to capture their complex associations, resulting in ...
Deep Learning Cognition Magnetic Resonance Imaging Neural Networks, Computer Brain
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A learning robot for cognitive camera control in minimally invasive surgery.

Surgical endoscopy Apr 27, 2021
BACKGROUND: We demonstrate the first self-learning, context-sensitive, autonomous camera-guiding robot applicable to minimally invasive surgery. The majority of surgical robots nowadays are telemanipulators without autonomous capabilities. Autonomous...
Learning Curve Minimally Invasive Surgical Procedures Laparoscopy Cognition Humans Robotics
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Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps.

Nature communications Apr 22, 2021
Cognitive maps are mental representations of spatial and conceptual relationships in an environment, and are critical for flexible behavior. To form these abstract maps, the hippocampus has to learn to separate or merge aliased observations appropria...
Humans Neural Networks, Computer Models, Neurological Learning Markov Chains Cognition Hippocampus
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What Can Network Science Tell Us About Phonology and Language Processing?

Topics in cognitive science Apr 9, 2021
Contemporary psycholinguistic models place significant emphasis on the cognitive processes involved in the acquisition, recognition, and production of language but neglect many issues related to the representation of language-related information in t...
Humans Models, Psychological Speech Perception Adult Recognition, Psychology Neural Networks, Computer Speech Psycholinguistics Phonetics Language Cognition
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Analysis of the human connectome data supports the notion of a "Common Model of Cognition" for human and human-like intelligence across domains.

NeuroImage Apr 7, 2021
The Common Model of Cognition (CMC) is a recently proposed, consensus architecture intended to capture decades of progress in cognitive science on modeling human and human-like intelligence. Because of the broad agreement around it and preliminary ma...
Bayes Theorem Intelligence Nerve Net Connectome Brain Cognition Magnetic Resonance Imaging Humans Artificial Intelligence
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Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience.

eLife Apr 6, 2021
In cognitive neuroscience, computational modeling can formally adjudicate between theories and affords quantitative fits to behavioral/brain data. Pragmatically, however, the space of plausible generative models considered is dramatically limited by ...
Models, Neurological Bayes Theorem Brain Humans Computer Simulation Neural Networks, Computer Cognition Cognitive Neuroscience Neural Pathways Likelihood Functions
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COVID-19 and digital transformation: developing an open experimental testbed for sustainable and innovative environments using Fuzzy Cognitive Maps.

F1000Research Apr 1, 2021
This paper sketches a new approach using Fuzzy Cognitive Maps (FCMs) to operably map and simulate digital transformation in architecture and urban planning. Today these processes are poorly understood. Many current studies on digital transformation a...
Cognition Fuzzy Logic Humans COVID-19 Software SARS-CoV-2
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