AIMC Topic: Cognition

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Bootstrapping promotes the RSFC-behavior associations: An application of individual cognitive traits prediction.

Human brain mapping Mar 16, 2020
Resting-state functional connectivity (RSFC) records enormous functional interaction information between any pair of brain nodes, which enriches the individual-phenotypic prediction. To reduce high-dimensional features, correlation analysis is a comm...
Cognition Support Vector Machine Magnetic Resonance Imaging Connectome Humans Brain Image Processing, Computer-Assisted
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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Communications biology Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Adult Male Deep Learning Adolescent Cognition Humans Brain Female Young Adult Neuropsychological Tests Motor Activity Conflict, Psychological Reaction Time Attention Goals Brain Waves Support Vector Machine Predictive Value of Tests Electroencephalography Signal Processing, Computer-Assisted
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Learning the generative principles of a symbol system from limited examples.

Cognition Mar 6, 2020
The processes and mechanisms of human learning are central to inquiries in a number of fields including psychology, cognitive science, development, education, and artificial intelligence. Arguments, debates, and controversies linger over the question...
Cognition Humans Neural Networks, Computer Artificial Intelligence Machine Learning Child, Preschool
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Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.

PloS one Mar 3, 2020
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e...
Bayes Theorem Memory, Short-Term Schizophrenia Neuropsychological Tests Models, Psychological Humans Linguistics Machine Learning Schizophrenic Psychology Male Female Theory of Mind Executive Function Middle Aged Young Adult Case-Control Studies Social Communication Disorder Adult Cognition Communication
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Numerosity discrimination in deep neural networks: Initial competence, developmental refinement and experience statistics.

Developmental science Feb 18, 2020
Both humans and non-human animals exhibit sensitivity to the approximate number of items in a visual array, as indexed by their performance in numerosity discrimination tasks, and even neonates can detect changes in numerosity. These findings are oft...
Computer Simulation Female Animals Male Humans Deep Learning Visual Perception Biological Evolution Neural Networks, Computer Child Environment Algorithms Numerical Analysis, Computer-Assisted Cognition Personality Inventory Judgment
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Effect of recurrent infomax on the information processing capability of input-driven recurrent neural networks.

Neuroscience research Feb 14, 2020
Reservoir computing is a framework for exploiting the inherent transient dynamics of recurrent neural networks (RNNs) as a computational resource. On the basis of this framework, much research has been conducted to evaluate the relationship between t...
Memory, Short-Term Neural Networks, Computer Cognition
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Towards an ontology of cognitive processes and their neural substrates: A structural equation modeling approach.

PloS one Feb 10, 2020
A key challenge in the field of cognitive neuroscience is to identify discriminable cognitive functions, and then map these functions to brain activity. In the current study, we set out to explore the relationships between performance arising from di...
Latent Class Analysis Cognition Models, Neurological Biological Ontologies Female Behavior Humans Young Adult Brain Adult Male
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Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.

Artificial intelligence in medicine Jan 21, 2020
Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavor as the disease can be expressed with vastly different phenotypes, forcing clinicians to follow a multi-parametric approach in patient evaluation, lo...
Adult Male Humans Middle Aged Machine Learning Disease Progression Anxiety Memory Prognosis Autonomic Nervous System Cognition Sleep Wake Disorders Female Parkinson Disease Aged Affect Aged, 80 and over
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Assessing various sensorimotor and cognitive functions in people with epilepsy is feasible with robotics.

Epilepsy & behavior : E&B Jan 7, 2020
BACKGROUND: Epilepsy is a common neurological disorder characterized by recurrent seizures, along with comorbid cognitive and psychosocial impairment. Current gold standards of assessment can quantify cognitive and motor performance, but may not capt...
Feasibility Studies Psychomotor Performance Neuropsychological Tests Motor Skills Photic Stimulation Executive Function Cognition Robotics Epilepsy Memory, Short-Term Adult Male Middle Aged Adolescent Female Aged Young Adult Humans
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Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.

Nutrients Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
Support Vector Machine Sensitivity and Specificity Humans Stroop Test Heart Rate Male Machine Learning Autonomic Nervous System Dehydration Stress, Psychological Young Adult Galvanic Skin Response Cognition Adult
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