AIMC Topic: Evoked Potentials

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Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 28, 2019
Neural representations span various spatiotemporal scales of brain activity, from the spiking activity of single neurons to field activity measuring large-scale networks. The simultaneous analyses of spikes and fields to uncover causal interactions i...
Humans Neural Networks, Computer Models, Neurological Linear Models Evoked Potentials Biophysics Algorithms Brain Reproducibility of Results Causality
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Coarse-to-fine information integration in human vision.

NeuroImage Nov 4, 2018
Coarse-to-fine theories of vision propose that the coarse information carried by the low spatial frequencies (LSF) of visual input guides the integration of finer, high spatial frequency (HSF) detail. Whether and how LSF modulates HSF processing in n...
Adult Male Time Factors Support Vector Machine Humans Female Young Adult Visual Perception Electroencephalography Facial Recognition Pattern Recognition, Automated Cerebral Cortex Evoked Potentials
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Machine learning provides novel neurophysiological features that predict performance to inhibit automated responses.

Scientific reports Nov 2, 2018
Neurophysiological features like event-related potentials (ERPs) have long been used to identify different cognitive sub-processes that may contribute to task performance. It has however remained unclear whether "classical" ERPs are truly the best re...
Behavior Observation Techniques Biological Variation, Population Evoked Potentials Inhibition, Psychological Female Humans Neurophysiology Young Adult Motor Cortex Machine Learning Adult Models, Neurological Male Electroencephalography Reaction Time Healthy Volunteers
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Human-agent co-adaptation using error-related potentials.

Journal of neural engineering Sep 11, 2018
OBJECTIVE: Error-related potentials (ErrP) have been proposed as an intuitive feedback signal decoded from the ongoing electroencephalogram (EEG) of a human observer for improving human-robot interaction (HRI). While recent demonstrations of this app...
Motor Skills Evoked Potentials Interpersonal Relations Fixation, Ocular Intention Calibration Brain-Computer Interfaces Adaptation, Psychological Feedback, Psychological Humans Female Adult Male Robotics Electroencephalography
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Shared spatiotemporal category representations in biological and artificial deep neural networks.

PLoS computational biology Jul 24, 2018
Visual scene category representations emerge very rapidly, yet the computational transformations that enable such invariant categorizations remain elusive. Deep convolutional neural networks (CNNs) perform visual categorization at near human-level ac...
Evoked Potentials, Somatosensory Somatosensory Cortex Electrodes Vision, Ocular Photic Stimulation Evoked Potentials Adolescent Brain Mapping Electroencephalography Humans Neural Networks, Computer Female Young Adult Male
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Decoding natural images from evoked brain activities using encoding models with invertible mapping.

Neural networks : the official journal of the International Neural Network Society May 21, 2018
Recent studies have built encoding models in the early visual cortex, and reliable mappings have been made between the low-level visual features of stimuli and brain activities. However, these mappings are irreversible, so that the features cannot be...
Magnetic Resonance Imaging Brain Mapping Evoked Potentials Humans Brain Image Processing, Computer-Assisted Support Vector Machine
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Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network.

Computational intelligence and neuroscience May 15, 2018
Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved. To this end, P300 peak has been used as the feature of ERP in most brain-computer interface applications, but subjects who do not sho...
Adult Male Time Factors ROC Curve Signal Processing, Computer-Assisted Semantics Brain-Computer Interfaces Neuropsychological Tests Machine Learning Brain Female Young Adult Evoked Potentials Humans Visual Perception Neural Networks, Computer Learning Curve Literacy
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Intrinsic interactive reinforcement learning - Using error-related potentials for real world human-robot interaction.

Scientific reports Dec 14, 2017
Reinforcement learning (RL) enables robots to learn its optimal behavioral strategy in dynamic environments based on feedback. Explicit human feedback during robot RL is advantageous, since an explicit reward function can be easily adapted. However, ...
Evoked Potentials Humans Reinforcement, Psychology Female Feedback, Psychological Male Robotics Electroencephalography
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Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials.

Journal of cognitive neuroscience Dec 6, 2017
Modern multivariate methods have enabled the application of unsupervised techniques to analyze neurophysiological data without strict adherence to predefined experimental conditions. We demonstrate a multivariate method that leverages priming effects...
Memory Evoked Potentials Algorithms Brain Female Young Adult Humans Unsupervised Machine Learning Adult Electroencephalography Male Signal Processing, Computer-Assisted Middle Aged Semantics Cluster Analysis
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Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Sep 30, 2017
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among children who are referred to psychiatry departments. Although ADHD was discovered at the beginning of the 20th century, its diagnosis is still confronted ...
Evoked Potentials Attention Deficit Disorder with Hyperactivity Stroop Test Male Humans Time Factors Machine Learning Child Algorithms Electroencephalography
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