AIMC Topic: Cognition

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Mapping differential responses to cognitive training using machine learning.

Developmental science Jul 22, 2019
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)-a type of simple artificial neural network...
Male Adolescent Child, Preschool Humans Female Unsupervised Machine Learning Intelligence Memory, Short-Term Cognition Disorders Child Cognition Cluster Analysis
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Bayesian Computation through Cortical Latent Dynamics.

Neuron Jul 15, 2019
Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can be leveraged and has had a major impact on models of per...
Cerebral Cortex Nerve Net Frontal Lobe Cognition Bayes Theorem Neurons Macaca mulatta Time Perception Neural Networks, Computer Animals
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Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.

Psychological medicine Jul 10, 2019
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to asses...
Machine Learning Female Risk Factors Male Humans Demography Cognition Adolescent Behavior Overweight Adolescent Body Mass Index Obesity Child Body Weight United States Sex Factors Multivariate Analysis Linear Models Health Status Disparities
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Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes.

IEEE transactions on neural networks and learning systems Jun 21, 2019
Recent studies have demonstrated the effectiveness of supervised learning in spiking neural networks (SNNs). A trainable SNN provides a valuable tool not only for engineering applications but also for theoretical neuroscience studies. Here, we propos...
Humans Neural Networks, Computer Machine Learning Algorithms Cognition Action Potentials Neurons Psychomotor Performance
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Pairwise Interactions among Brain Regions Organize Large-Scale Functional Connectivity during Execution of Various Tasks.

Neuroscience Jun 8, 2019
Spatially separated brain areas interact with each other to form networks with coordinated activities, supporting various brain functions. Interaction structures among brain areas have been widely investigated through pairwise measures. However, inte...
Cognition Magnetic Resonance Imaging Emotions Nerve Net Humans Brain Mapping Neural Networks, Computer Psychomotor Performance Brain
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Human cognition and the AI revolution.

Annals of the New York Academy of Sciences Jun 4, 2019
Discovering the true nature of reality may ultimately hinge on grasping the nature and essence of human understanding. What are the fundamental elements or building blocks of human cognition? And how will the rise of superintelligent machines challen...
Consciousness Logic Comprehension Mathematics Brain Cognition Models, Theoretical Neural Networks, Computer Artificial Intelligence Algorithms Humans
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Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.

Journal of computational neuroscience May 27, 2019
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...
Neurons Synapses Humans Cognition Neural Pathways Mental Recall Algorithms Neural Networks, Computer Neuronal Plasticity Electrophysiological Phenomena Computer Simulation Machine Learning Decision Making Long-Term Synaptic Depression Animals
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A Computational Perspective of the Role of the Thalamus in Cognition.

Neural computation May 21, 2019
The thalamus has traditionally been considered as only a relay source of cortical inputs, with hierarchically organized cortical circuits serially transforming thalamic signals to cognitively relevant representations. Given the absence of local excit...
Neural Pathways Thalamus Humans Artificial Intelligence Cognition Cerebral Cortex
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Cognitive Action Laws: The Case of Visual Features.

IEEE transactions on neural networks and learning systems May 8, 2019
This paper proposes a theory for understanding perceptual learning processes within the general framework of laws of nature. Artificial neural networks are regarded as systems whose connections are Lagrangian variables, namely, functions depending on...
Photic Stimulation Machine Learning Cognition Pattern Recognition, Automated Neural Networks, Computer
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Assessing cognitive mental workload via EEG signals and an ensemble deep learning classifier based on denoising autoencoders.

Computers in biology and medicine Apr 29, 2019
To estimate the reliability and cognitive states of operator performance in a human-machine collaborative environment, we propose a novel human mental workload (MW) recognizer based on deep learning principles and utilizing the features of the electr...
Cognition Humans Models, Neurological Databases, Factual Electroencephalography Deep Learning
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