AIMC Topic: Brain Waves

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A Tunable-Q wavelet transform and quadruple symmetric pattern based EEG signal classification method.

Medical hypotheses Dec 10, 2019
Electroencephalography (EEG) signals have been widely used to diagnose brain diseases for instance epilepsy, Parkinson's Disease (PD), Multiple Skleroz (MS), and many machine learning methods have been proposed to develop automated disease diagnosis ...
Classification Wavelet Analysis Brain Waves Humans Machine Learning Signal Processing, Computer-Assisted Algorithms Datasets as Topic Electroencephalography Epilepsy
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Two Distinct Neural Timescales for Predictive Speech Processing.

Neuron Dec 2, 2019
During speech listening, the brain could use contextual predictions to optimize sensory sampling and processing. We asked if such predictive processing is organized dynamically into separate oscillatory timescales. We trained a neural network that us...
Humans Neural Networks, Computer Brain Time Factors Female Brain Waves Uncertainty Male Magnetoencephalography Speech
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Cortical Tracking of Surprisal during Continuous Speech Comprehension.

Journal of cognitive neuroscience Sep 3, 2019
Speech comprehension requires rapid online processing of a continuous acoustic signal to extract structure and meaning. Previous studies on sentence comprehension have found neural correlates of the predictability of a word given its context, as well...
Adult Male Deep Learning Functional Neuroimaging Humans Female Young Adult Brain Waves Speech Perception Psycholinguistics Electroencephalography Cerebral Cortex Comprehension
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Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia.

IEEE journal of biomedical and health informatics Jul 29, 2019
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia. Nocturnal hypogl...
Brain Waves Adolescent Algorithms Hypoglycemia Humans Bayes Theorem Sensitivity and Specificity Neural Networks, Computer Sleep Child Electroencephalography Diagnosis, Computer-Assisted Diabetes Mellitus, Type 1
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Bifurcation structure determines different phase-amplitude coupling patterns in the activity of biologically plausible neural networks.

NeuroImage Jul 19, 2019
Phase-amplitude cross frequency coupling (PAC) is a rather ubiquitous phenomenon that has been observed in a variety of physical domains; however, the mechanisms underlying the emergence of PAC and its functional significance in the context of neural...
Models, Neurological Parkinson Disease Brain Waves Humans Neural Networks, Computer
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Learning-based classification of valence emotion from electroencephalography.

The International journal of neuroscience Jul 3, 2019
The neuroimaging research field has been revolutionized with the development of human cognitive functions without the use of brain pathways. To assist such systems, electroencephalography (EEG) based measures play an important role. In this study, th...
Datasets as Topic Brain Waves Recognition, Psychology Emotions Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Adult Models, Theoretical Brain Young Adult
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Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives.

NeuroImage Jun 24, 2019
Classic serotonergic psychedelics are remarkable for their capacity to induce reversible alterations in consciousness of the self and the surroundings, mediated by agonism at serotonin 5-HT receptors. The subjective effects elicited by dissociative d...
Psilocybin Serotonin 5-HT2 Receptor Agonists Excitatory Amino Acid Antagonists Lysergic Acid Diethylamide Brain Waves Ketamine Nerve Net Humans Hallucinogens Magnetoencephalography Receptors, N-Methyl-D-Aspartate Machine Learning Adult Connectome
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Brain wave classification using long short-term memory network based OPTICAL predictor.

Scientific reports Jun 24, 2019
Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of techniques have been proposed aiming to be able to classify brain waves with high accuracy. However...
Humans Neural Networks, Computer Signal Processing, Computer-Assisted Benchmarking Support Vector Machine Electroencephalography Brain Waves
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EIQ: EEG based IQ test using wavelet packet transform and hierarchical extreme learning machine.

Journal of neuroscience methods Apr 22, 2019
BACKGROUND: The use of electroencephalography has been perpetually incrementing and has numerous applications such as clinical and psychiatric studies, social interactions, brain computer interface etc. Intelligence has baffled us for centuries, and ...
Brain Waves Neuropsychological Tests Intelligence Tests Intelligence Brain-Computer Interfaces Wavelet Analysis Deep Learning Humans Electroencephalography Brain
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EEG characteristics of children with attention-deficit/hyperactivity disorder.

Neuroscience Mar 26, 2019
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hyperactivity disorder (ADHD); one main goal is to characterize the EEG of children with ADHD. In this study, we employed the power spectrum, complexity...
Electroencephalography Brain Waves Attention Deficit Disorder with Hyperactivity Female Humans Male Machine Learning Child Brain
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