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EEG

Electroencephalography epilepsy

Papers

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Showing 401–425 of 2431 papers

TitleStatusHype
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review—0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals—0
EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG ModelCode2
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition—0
Designing Pre-training Datasets from Unlabeled Data for EEG Classification with Transformers—0
Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal—0
BrainDreamer: Reasoning-Coherent and Controllable Image Generation from EEG Brain Signals via Language Guidance—0
Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning—0
Compensatory Mechanisms in Non-principal Multimedia Learning: The Interplay of Local and Global Information Processing—0
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection—0
EEG-based Decoding of Selective Visual Attention in Superimposed VideosCode0
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement—0
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention ScalingCode0
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI SynthesisCode0
Accelerated Algorithms for Source Orientation Detection (AORI) and Spatiotemporal LCMV (ALCMV) Beamforming in EEG Source Localization—0
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsCode2
An Ultra-Low Power Wearable BMI System with Continual Learning CapabilitiesCode0
Towards a Quantitative Theory of Digraph-Based Complexes and its Applications in Brain Network Analysis—0
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models—0
SEE: Semantically Aligned EEG-to-Text Translation—0
PHemoNet: A Multimodal Network for Physiological SignalsCode2
Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine InterfacesCode0
Using Ear-EEG to Decode Auditory Attention in Multiple-speaker EnvironmentCode0
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