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

Showing 2185-2205 of 4,541 articles

Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs

We propose a novel framework for integrating fragmented multi-modal data in Alzheimer's disease (A...

May 2025 http://arxiv.org/abs/2505.15747v2

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

A brain-computer interface (BCI) system enables direct communication between the brain and externa...

May 2025 http://arxiv.org/abs/2505.14192v1

A CNN-based approach for detecting eye blink episodes in EEG signals.

This study aims to develop and evaluate a convolutional neural network (CNN)-based architecture for ...

May 2025 40328273

Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.

Dementia spectrum disorders, characterized by progressive cognitive decline, pose a significant glob...

May 2025 40389648

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.

Identifying likely placebo responders can help design more efficient clinical trials by stratifying ...

May 2025 40389790

Commonality and individuality based graph learning network for EEG emotion recognition.

The interplay between individual differences and shared human characteristics significantly impacts ...

May 2025 40327373

Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.

Changes in the pace of neurodevelopment are key indicators of atypical maturation during early life....

May 2025 40216216

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

High-resolution functional magnetic resonance imaging (fMRI) is essential for mapping human brain ...

May 2025 http://arxiv.org/abs/2505.09521v1

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing

The rapid advancement of neuroscience and machine learning has established data-driven stochastic ...

May 2025 http://arxiv.org/abs/2505.09327v1

Domain-generalized Deep Learning for Improved Subject-independent Emotion Recognition Based on Electroencephalography.

Electroencephalography (EEG) provides high temporal resolution and noninvasiveness for a range of pr...

May 2025 40364497

Bipartite Graph Adversarial Network for Subject-Independent Emotion Recognition.

Emotions play a vital role in connecting and sharing with others. However, individuals with emotiona...

May 2025 40366846

Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.

Electroencephalography (EEG) recordings are widely used in neuroscience to identify healthy individu...

May 2025 40358723

Predicting antiseizure medication response in newly diagnosed epilepsy using quantitative EEG and machine learning.

BACKGROUND: Predicting long-term outcomes in newly diagnosed epilepsy remains limited by reliance on...

May 2025 40382856

The contribution of the locus coeruleus - norepinephrine system to the coupling between pupil-linked arousal and cortical state.

Understanding how pupil-linked arousal couples with cortical state is crucial for uncovering the neu...

May 2025 40463220

Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques.

Adequate sleep is crucial for maintaining a healthy lifestyle, and its deficiency can lead to variou...

May 2025 40360656

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models

Background and Objective. Research in the cross-modal medical image translation domain has been ve...

May 2025 http://arxiv.org/abs/2505.07364v1

Neurology

Browse Categories

Multi-modal Integration Analysis of Alzheimer's Disease Using Large Language Models and Knowledge Graphs

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

A CNN-based approach for detecting eye blink episodes in EEG signals.

Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics.

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets.

Commonality and individuality based graph learning network for EEG emotion recognition.

Electroencephalography estimates brain age in infants with high precision: Leveraging advanced machine learning in healthcare.

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing

Domain-generalized Deep Learning for Improved Subject-independent Emotion Recognition Based on Electroencephalography.

Bipartite Graph Adversarial Network for Subject-Independent Emotion Recognition.

Realistic Subject-Specific Simulation of Resting State Scalp EEG Based on Physiological Model.

Predicting antiseizure medication response in newly diagnosed epilepsy using quantitative EEG and machine learning.

The contribution of the locus coeruleus - norepinephrine system to the coupling between pupil-linked arousal and cortical state.

Revolutionizing sleep disorder diagnosis: A Multi-Task learning approach optimized with genetic and Q-Learning techniques.

GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models

Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network.

A Computational Approach to Epilepsy Treatment: An AI-optimized Global Natural Product Prescription System

Long-Term Neonatal EEG Modeling with DSP and ML for Grading Hypoxic-Ischemic Encephalopathy Injury.

Deep Learning for EEG-Based Visual Classification and Reconstruction: Panorama, Trends, Challenges and Opportunities.

Enhanced Graph Attention Network by Integrating Transformer for Epileptic EEG Identification.

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