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

Showing 2437-2457 of 4,541 articles

Improving SSVEP BCI Spellers With Data Augmentation and Language Models

Steady-State Visual Evoked Potential (SSVEP) spellers are a promising communication tool for indiv...

Dec 2024 http://arxiv.org/abs/2412.20052v1

Comprehensive Review of EEG-to-Output Research: Decoding Neural Signals into Images, Videos, and Audio

Electroencephalography (EEG) is an invaluable tool in neuroscience, offering insights into brain a...

Dec 2024 http://arxiv.org/abs/2412.19999v1

Revealing the Self: Brainwave-Based Human Trait Identification

People exhibit unique emotional responses. In the same scenario, the emotional reactions of two in...

Dec 2024 http://arxiv.org/abs/2412.19041v1

[Three-dimensional convolutional neural network based on spatial-spectral feature pictures learning for decoding motor imagery electroencephalography signal].

The brain-computer interface (BCI) based on motor imagery electroencephalography (EEG) shows great p...

Dec 2024 40000203

RNN-Based Models for Predicting Seizure Onset in Epileptic Patients

Early management and better clinical outcomes for epileptic patients depend on seizure prediction....

Dec 2024 http://arxiv.org/abs/2501.16334v1

Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition

Early-warning signals of delicate design are always used to predict critical transitions in comple...

Dec 2024 http://arxiv.org/abs/2412.16235v1

LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring

Efficiently identifying sleep stages is crucial for unraveling the intricacies of sleep in both pr...

Dec 2024 http://arxiv.org/abs/2412.15412v1

CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection

Electroencephalogram (EEG) signals are critical for detecting abnormal brain activity, but their h...

Dec 2024 http://arxiv.org/abs/2412.14522v2

Identification of Epileptic Spasms (ESES) Phases Using EEG Signals: A Vision Transformer Approach

This work introduces a new approach to the Epileptic Spasms (ESES) detection based on the EEG sign...

Dec 2024 http://arxiv.org/abs/2412.13028v1

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network

Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through ele...

Dec 2024 http://arxiv.org/abs/2412.17834v1

CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information

Electroencephalogram (EEG) signals have attracted significant attention from researchers due to th...

Dec 2024 http://arxiv.org/abs/2412.10489v2

Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals

Time-series foundation models excel at tasks like forecasting across diverse data types by leverag...

Dec 2024 http://arxiv.org/abs/2412.09758v2

Motor Imagery Classification for Asynchronous EEG-Based Brain-Computer Interfaces

Motor imagery (MI) based brain-computer interfaces (BCIs) enable the direct control of external de...

Dec 2024 http://arxiv.org/abs/2412.09006v1

LV-CadeNet: Long View Feature Convolution-Attention Fusion Encoder-Decoder Network for Clinical MEG Spike Detection

It is widely acknowledged that the epileptic foci can be pinpointed by source localizing intericta...

Dec 2024 http://arxiv.org/abs/2412.08896v1

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis

Multimodal Aspect-Based Sentiment Analysis (MABSA) combines text and images to perform sentiment a...

Dec 2024 http://arxiv.org/abs/2412.08489v1

Comparative Analysis of Deep Learning Approaches for Harmful Brain Activity Detection Using EEG

The classification of harmful brain activities, such as seizures and periodic discharges, play a v...

Dec 2024 http://arxiv.org/abs/2412.07878v1

Investigation of in vitro neuronal activity processing using a CMOS-integrated ZrO2-based memristive crossbar

The influence of the epileptiform neuronal activity on the response of a CMOS-integrated ZrO2-base...

Dec 2024 http://arxiv.org/abs/2412.07340v1

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Electroencephalography (EEG) is a non-invasive technique to measure and record brain electrical ac...

Dec 2024 http://arxiv.org/abs/2412.07236v5

T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs

Objective: An electroencephalogram (EEG)-based brain-computer interface (BCI) enables direct commu...

Dec 2024 http://arxiv.org/abs/2412.07228v1

Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems

A multitude of individuals across the globe grapple with motor disabilities. Neural prosthetics ut...

Dec 2024 http://arxiv.org/abs/2412.07175v2

Hyperbolic embedding of brain networks can predict the surgery outcome in temporal lobe epilepsy

Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option ...

Dec 2024 http://arxiv.org/abs/2412.17820v3