Results 111 to 120 of about 20,949 (259)
Single-channel electroencephalography decomposition by detector-atom network and its pre-trained model [PDF]
arXivThis paper presents a novel single-channel decomposition approach to facilitate the decomposition of electroencephalography (EEG) signals recorded with limited channels. Our model posits that an EEG signal comprises short, shift-invariant waves, referred to as atoms. We design a decomposer as an artificial neural network aimed at estimating these atoms
arxiv
Electroencephalography source connectivity: toward high time/space resolution brain networks [PDF]
arXiv, 2018 The human brain is a large-scale network which function depends on dynamic interactions between spatially-distributed regions. In the rapidly-evolving field of network neuroscience, two yet unresolved challenges are potential breakthroughs. First, functional brain networks should be estimated from noninvasive and easy to use neuroimaging techniques ...
arxiv
Arquivos de Neuro-Psiquiatria, 1997 Baseados no que observamos em cinco pessoas hígidas, fazemos uma revisão das principais teorias a respeito dos sonhos e propomos uma explicação unificadora sobre a função cognitiva deles.
Moysés Chaves +2 more
doaj +1 more source
QUANTITATIVE ELECTROENCEPHALOGRAPHY IN MAN AS A MEASURE OF CNS STIMULATION* [PDF]
, 1963 Leonide Goldstein +2 more
openalex +1 more source
Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data [PDF]
arXivIn this paper, we present an algorithm of gaze prediction from Electroencephalography (EEG) data. EEG-based gaze prediction is a new research topic that can serve as an alternative to traditional video-based eye-tracking. Compared to the existing state-of-the-art (SOTA) method, we improved the root mean-squared-error of EEG-based gaze prediction to 53 ...
arxiv
Machine learning with electroencephalography features for precise diagnosis of depression subtypes [PDF]
arXiv, 2019 Depression is a common psychiatric disorder, which causes significant patient distress. Bipolar disorder is characterized by mood fluctuations between depression and mania. Unipolar and bipolar depression can be easily confused because of similar symptom profiles, but their adequate treatment plans are different.
arxiv
Salvage Trans‐Sylvian Peri‐Insular Hemispherotomy After Embolic Hemispherectomy
Annals of the Child Neurology Society, EarlyView.ABSTRACT Background Hemispherectomy and hemispherotomy represent well‐established treatments for drug‐resistant hemispheric epilepsy. An alternative endovascular procedure has been explored for cases with challenging surgical anatomy, which seeks to achieve the clinical effect of hemispherectomy via embolization of the major cerebral arteries and ...
Michael E. Baumgartner +4 more
wiley +1 more source
Self-supervised representation learning from electroencephalography signals [PDF]
arXiv, 2019 The supervised learning paradigm is limited by the cost - and sometimes the impracticality - of data collection and labeling in multiple domains. Self-supervised learning, a paradigm which exploits the structure of unlabeled data to create learning problems that can be solved with standard supervised approaches, has shown great promise as a pretraining
arxiv
All in the Name of Artificial Intelligence: A Commentary on Linardon (2025)
International Journal of Eating Disorders, EarlyView.ABSTRACT Artificial Intelligence (AI) is being rapidly integrated into healthcare, but Linardon et al. reveal a troubling gap between what AI actually is, its capabilities, and the patients' and clinicians' perceptions of it—equating AI solely with large language models.
Pia Burger, Sreejita Ghosh
wiley +1 more source
Epileptic Disorders, EarlyView.Abstract We performed a systematic review of the localizational value of disturbances of self‐integration, depersonalization and forced thinking in focal epilepsy with the aim to summarize the state‐of‐the‐art anatomo‐clinical correlations in the field and help guide interpretation of ictal semiology within the framework of pre‐surgical evaluation. The
Lars Etholm +5 more
wiley +1 more source