Results 1 to 10 of about 27,643 (151)
Stacked Autoencoders for the P300 Component Detection [PDF]
Frontiers in Neuroscience, 2017 Novel neural network training methods (commonly referred to as deep learning) have emerged in recent years. Using a combination of unsupervised pre-training and subsequent fine-tuning, deep neural networks have become one of the most reliable ...
Lukáš Vařeka, Pavel Mautner
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Audio-Visual Spatiotemporal Perceptual Training Enhances the P300 Component in Healthy Older Adults [PDF]
Frontiers in Psychology, 2018 In older adults, cognitive abilities, such as those associated with vision and hearing, generally decrease with age. According to several studies, audio-visual perceptual training can improve perceived competence regarding visual and auditory stimuli ...
Weiping Yang +8 more
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Frontiers in Neurology, 2019 Background: Epilepsy is one of the most prevalent chronic brain diseases worldwide and is often accompanied by cognitive impairment. Event-related potentials (ERPs) are an objectively non-invasive approach for studying information processing and ...
Rui Zhong +5 more
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A computational model for generation of the P300 evoked potential component
Journal of Integrative Neuroscience, 2012 The P300 is an endogenously evoked potential with amplitude and latency depending on the amount of information carried by the stimulus rather than its physical characteristics. It has been suggested that P300 is a manifestation of the context updating mechanism in the human working memory.
Ben H Jansen
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Applied Sciences, 2020 Aiming at enhancing the classification accuracy of P300 Electroencephalogram signals in a non-invasive brain−computer interface system, a novel P300 electroencephalogram signals classification algorithm is proposed which is based on improved ...
Feng Li +5 more
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How mental fatigue affects the neural sources of P300 component [PDF]
Journal of Integrative Neuroscience, 2018 Accurate differentiation of mental fatigue levels by analysis of electroencephalogram features is still a challenge. This deficiency originates in the inability of conventional electroencephalogram features to reveal significant changes in fatigue levels.
Malihe Sabeti, Reza Boostani, Karim Rastgar
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Brain data and driver's attention during simulated drive
Acta Polytechnica CTU Proceedings, 2022 The attention of drivers is a serious issue and one of the critical factors of road safety. The question is whether the electrical activity of the human brain can be correctly measured/collected and utilized to monitor and interpret the driver's ...
Roman Mouček +2 more
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Method for enhancing single-trial P300 detection by introducing the complexity degree of image information in rapid serial visual presentation tasks. [PDF]
PLoS ONE, 2017 The application of electroencephalogram (EEG) generated by human viewing images is a new thrust in image retrieval technology. A P300 component in the EEG is induced when the subjects see their point of interest in a target image under the rapid serial ...
Zhimin Lin +5 more
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A Review on P300 in Obsessive-Compulsive Disorder
Frontiers in Psychiatry, 2021 Neuropsychological studies indicate the presence of cognitive changes in patients with obsessive-compulsive disorder (OCD). Indeed, OCD may be included among the dysfunctions of the frontal lobes and their connections with the limbic system, associative ...
Alberto Raggi +3 more
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Effects of passive heat stress and recovery on human cognitive function: An ERP study.
PLoS ONE, 2021 Using event-related potentials (ERPs), we investigated the effects of passive heat stress and recovery on the human cognitive function with Flanker tasks, involving congruent and incongruent stimuli.
Hiroki Nakata +2 more
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