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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 2542-2562 of 4,550 articles

EEG decoding with spatiotemporal convolutional neural network for visualization and closed-loop control of sensorimotor activities: A simultaneous EEG-fMRI study.

Closed-loop neurofeedback training utilizes neural signals such as scalp electroencephalograms (EEG)...

Jun 2024 38923184

EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels

Identifying and reconstructing what we see from brain activity gives us a special insight into inv...

Jun 2024 http://arxiv.org/abs/2406.07151v1

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning

Decoding images from non-invasive electroencephalographic (EEG) signals has been a grand challenge...

Jun 2024 http://arxiv.org/abs/2406.16910v1

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

STUDY OBJECTIVES: Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of...

May 2024 38330231

Improving epilepsy diagnosis across the lifespan: approaches and innovations.

Epilepsy diagnosis is often delayed or inaccurate, exposing people to ongoing seizures and their sub...

May 2024 38631767

[Automatic epilepsy detection with an attention-based multiscale residual network].

The deep learning-based automatic detection of epilepsy electroencephalogram (EEG), which can avoid ...

Apr 2024 38686405

Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy.

OBJECTIVE: To evaluate the diagnostic performance and image quality of 1.5-mm slice thickness MRI wi...

Apr 2024 38528695

Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background.

Deep convolutional neural networks (DCNNs) are able to partially predict brain activity during objec...

Mar 2024 38165735

Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm.

The objective of EEG-based emotion recognition is to classify emotions by decoding signals, with pot...

Feb 2024 38549349

Optimal Graph Representations and Neural Networks for Seizure Detection Using Intracranial EEG Data

In recent years, several machine-learning (ML) solutions have been proposed to solve the problems of...

Jan 2024 10.1101/2024.12.28.24316703

Decoding pre-movement neural activity from thalamic LFPs for adaptive neurostimulation in tremor patients

Understanding the neural mechanisms underlying movement initiation is crucial for advancing movement...

Jan 2024 10.1101/2024.12.18.24319164

Neural Mosaics: Detecting Aberrant Brain Interactions using Algebraic Topology and Generative Artificial Intelligence.

Epilepsy affects over 50 million persons worldwide, with less than 50% achieving long-term success f...

Jan 2024 40417558

[Safety of robot-assisted implantation of deep electrodes for invasive stereo-EEG monitoring].

UNLABELLED: Robot-assisted implantation of deep electrodes for stereo-EEG monitoring has become popu...

Jan 2024 38334728

ADT Network: A Novel Nonlinear Method for Decoding Speech Envelopes From EEG Signals.

Decoding speech envelopes from electroencephalogram (EEG) signals holds potential as a research tool...

Jan 2024 39397786

BiTCAN: A emotion recognition network based on saliency in brain cognition.

In recent years, with the continuous development of artificial intelligence and brain-computer inter...

Dec 2023 38124609

Predicting Antiseizure Medication Treatment in Children with Rare Tuberous Sclerosis Complex-Related Epilepsy Using Deep Learning.

BACKGROUND AND PURPOSE: Tuberous sclerosis complex disease is a rare, multisystem genetic disease, b...

Dec 2023 38081677

AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection.

BACKGROUND: In recent years, road traffic safety has become a prominent issue due to the worldwide p...

Oct 2023 38176922

A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection.

Fatigue, one of the most important factors affecting road safety, has attracted many researchers' at...

Sep 2023 37721506

Neurology

Browse Categories

EEG decoding with spatiotemporal convolutional neural network for visualization and closed-loop control of sensorimotor activities: A simultaneous EEG-fMRI study.

EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning

EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

Improving epilepsy diagnosis across the lifespan: approaches and innovations.

[Automatic epilepsy detection with an attention-based multiscale residual network].

Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy.

Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background.

Cross-subject EEG-based emotion recognition through dynamic optimization of random forest with sparrow search algorithm.

Optimal Graph Representations and Neural Networks for Seizure Detection Using Intracranial EEG Data

Decoding pre-movement neural activity from thalamic LFPs for adaptive neurostimulation in tremor patients

Neural Mosaics: Detecting Aberrant Brain Interactions using Algebraic Topology and Generative Artificial Intelligence.

[Safety of robot-assisted implantation of deep electrodes for invasive stereo-EEG monitoring].

ADT Network: A Novel Nonlinear Method for Decoding Speech Envelopes From EEG Signals.

BiTCAN: A emotion recognition network based on saliency in brain cognition.

Predicting Antiseizure Medication Treatment in Children with Rare Tuberous Sclerosis Complex-Related Epilepsy Using Deep Learning.

AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection.

A regression model combined convolutional neural network and recurrent neural network for electroencephalogram-based cross-subject fatigue detection.

A convolutional neural network-based decision support system for neonatal quiet sleep detection.

Automated Interpretation of Clinical Electroencephalograms Using Artificial Intelligence.

An Evaluation of Hybrid Deep Learning Models for Classifying Multiple Lower Limb Actions.

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