On the public citation graph

Spatial patterns underlying population differences in the background EEG

0 signed · 359 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781119952954.ch1openalex-snapshot

Introduction to Statistical Pattern Recognition

inferredcites →https://doi.org/10.1007/bf01129172openalex-snapshot

An eigenfunction approach to the inverse problem of EEG

inferredcites →https://doi.org/10.1016/0013-4694(77)90272-3openalex-snapshot

Handbook of Electroencephalography and Clinical Neurophysiology

inferredcites →https://doi.org/10.1016/0013-4694(81)90221-2openalex-snapshot

Significance probability mapping: An aid in the topographic analysis of brain electrical activity

inferredcites →https://doi.org/10.1016/0013-4694(89)90029-1openalex-snapshot

Computed radial-current topography of the brain: patterns associated with the normal and abnormal EEG

inferredcites →https://doi.org/10.1016/c2009-0-27872-xopenalex-snapshot

Introduction to Statistical Pattern Recognition

inferredcites →https://doi.org/10.1097/00004691-198801000-00001openalex-snapshot

Quantitative EEG

inferredcites →https://doi.org/10.1097/00004691-198801000-00002openalex-snapshot

Quantitative EEG

inferredcites →https://doi.org/10.1109/tbme.1984.325246openalex-snapshot

Analysis of the Electromagnetic Signals of the Human Brain: Milestones, Obstacles, and Goals

inferredcites →https://doi.org/10.1109/tbme.1987.326089openalex-snapshot

Scalp Current Density Mapping: Value and Estimation from Potential Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.5281/zenodo.43579openalex-extracted

An Adaptive And Efficient Spatial Filter For Event-Related Potentials

inferred← citeshttps://doi.org/10.1002/hbm.23730openalex-snapshot

Deep learning with convolutional neural networks for EEG decoding and visualization

inferred← citeshttps://doi.org/10.1007/11861898_41openalex-snapshot

Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals

inferred← citeshttps://doi.org/10.1007/3-540-39949-6_9openalex-snapshot

Classification of Electro-encephalographic Spatial Patterns

inferred← citeshttps://doi.org/10.1007/7657_2013_66openalex-snapshot

Phase Variants of the Common Spatial Patterns Method

inferred← citeshttps://doi.org/10.1007/978-3-030-04021-5_3openalex-snapshot

A Common Spatial Pattern Approach for Classification of Mental Counting and Motor Execution EEG

inferred← citeshttps://doi.org/10.1007/978-3-030-33617-2_16openalex-snapshot

A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI

inferred← citeshttps://doi.org/10.1007/978-3-030-49724-8_8openalex-snapshot

Deep Learning Methods in Electroencephalography

inferred← citeshttps://doi.org/10.1007/978-3-031-82487-6_8openalex-snapshot

A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery

inferred← citeshttps://doi.org/10.1007/978-3-319-10978-7_4openalex-snapshot

Translational Algorithms: The Heart of a Brain Computer Interface

inferred← citeshttps://doi.org/10.1007/978-3-319-14063-6_22openalex-snapshot

Machine Learning Reveals Different Brain Activities in Visual Pathway during TOVA Test

inferred← citeshttps://doi.org/10.1007/978-3-540-87559-8_95openalex-snapshot

The Extreme Energy Ratio Criterion for EEG Feature Extraction

inferred← citeshttps://doi.org/10.1007/978-3-642-02091-9_3openalex-snapshot

Dynamics of Sensorimotor Oscillations in a Motor Task

inferred← citeshttps://doi.org/10.1007/978-3-642-04954-5_30openalex-snapshot

Automatic and Semi-automatic Approaches for Selecting Prominent Spatial Filters of CSP in BCI Applications

inferred← citeshttps://doi.org/10.1007/978-3-642-13396-1_14openalex-snapshot

Brain-Computer Interface (BCI): Types, Processing Perspectives and Applications

inferred← citeshttps://doi.org/10.1007/978-981-13-0923-6_38openalex-snapshot

Investigating the Influence of Prior Expectation in Face Pareidolia using Spatial Pattern

inferred← citeshttps://doi.org/10.1007/978-981-13-9113-2_10openalex-snapshot

Single-Trial Analysis

inferred← citeshttps://doi.org/10.1007/978-981-16-6554-7_34openalex-snapshot

Multiband Based Joint Sparse Representation for Motor Imagery Classification

inferred← citeshttps://doi.org/10.1007/978-981-16-9247-5_40openalex-snapshot

A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces

inferred← citeshttps://doi.org/10.1007/bf02344690openalex-snapshot

Selecting relevant electrode positions for classification tasks based on the electro-encephalogram

inferred← citeshttps://doi.org/10.1007/bf02534144openalex-snapshot

Signal-space projection method for separating MEG or EEG into components

inferred← citeshttps://doi.org/10.1007/s00521-022-07833-xopenalex-snapshot

A new common spatial pattern-based unified channels algorithm for driver’s fatigue EEG signals classification

inferred← citeshttps://doi.org/10.1007/s10462-019-09694-8openalex-snapshot

Filtering techniques for channel selection in motor imagery EEG applications: a survey

inferred← citeshttps://doi.org/10.1007/s10462-025-11126-9openalex-snapshot

A review on EEG-based multimodal learning for emotion recognition

inferred← citeshttps://doi.org/10.1007/s10462-025-11326-3openalex-snapshot

Don’t push the button! Exploring data leakage risks in machine learning and transfer learning

inferred← citeshttps://doi.org/10.1007/s10489-023-05134-xopenalex-snapshot

Incorporating hand-crafted features into deep learning models for motor imagery EEG-based classification

inferred← citeshttps://doi.org/10.1007/s10548-016-0506-2openalex-snapshot

Integrated Analysis of EEG and fMRI Using Sparsity of Spatial Maps

inferred← citeshttps://doi.org/10.1007/s10548-020-00801-5openalex-snapshot

Discrimination of Tourette Syndrome Based on the Spatial Patterns of the Resting–State EEG Network

inferred← citeshttps://doi.org/10.1007/s11042-023-17118-7openalex-snapshot

Boosting motor imagery brain-computer interface classification using multiband and hybrid feature extraction

inferred← citeshttps://doi.org/10.1007/s11042-024-18698-8openalex-snapshot

Spatial spiking neural network for classification of EEG signals for concealed information test

inferred← citeshttps://doi.org/10.1007/s11227-025-07319-2openalex-snapshot

CCLNet: multiclass motor imagery EEG decoding through extended common spatial patterns and CNN-LSTM hybrid network

inferred← citeshttps://doi.org/10.1007/s11517-011-0766-7openalex-snapshot

Optimizing spatial filters for single-trial EEG classification via a discriminant extension to CSP: the Fisher criterion

inferred← citeshttps://doi.org/10.1007/s11517-020-02176-yopenalex-snapshot

EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system

inferred← citeshttps://doi.org/10.1007/s11571-020-09573-xopenalex-snapshot

A brain–computer interface for the continuous, real-time monitoring of working memory load in real-world environments

inferred← citeshttps://doi.org/10.1007/s11571-025-10296-0openalex-snapshot

DSTA-Net: dynamic spatio-temporal feature augmentation network for motor imagery classification

inferred← citeshttps://doi.org/10.1007/s13246-018-0691-2openalex-snapshot

Multi-class EEG classification of motor imagery signal by finding optimal time segments and features using SNR-based mutual information

inferred← citeshttps://doi.org/10.1007/s40846-022-00726-3openalex-snapshot

Identifying Patients with Epilepsy Having Depression/Anxiety Disorder Using Common Spatial Patterns of Functional EEG Networks

inferred← citeshttps://doi.org/10.1007/s40846-023-00798-9openalex-snapshot

Towards Improving Motor Imagery Brain–Computer Interface Using Multimodal Speech Imagery

inferred← citeshttps://doi.org/10.1016/0013-4694(91)90163-xopenalex-snapshot

The quantitative extraction and topographic mapping of the abnormal components in the clinical EEG

inferred← citeshttps://doi.org/10.1016/0013-4694(94)90119-8openalex-snapshot

Spatial patterns in the background EEG underlying mental disease in man

inferred← citeshttps://doi.org/10.1016/0013-4694(95)00083-bopenalex-snapshot

Spatio-temporal decomposition of the EEG: a general approach to the isolation and localization of sources

inferred← citeshttps://doi.org/10.1016/b978-0-12-820781-9.00001-2openalex-snapshot

Prototype algorithm for three-class motor imagery data classification: a step toward development of human–computer interaction-based neuro-aid

inferred← citeshttps://doi.org/10.1016/j.artint.2025.104347openalex-snapshot

Deep optimal transport for domain adaptation on SPD manifolds

inferred← citeshttps://doi.org/10.1016/j.artmed.2019.101747openalex-snapshot

Motor imagery EEG recognition with KNN-based smooth auto-encoder

inferred← citeshttps://doi.org/10.1016/j.asoc.2015.03.028openalex-snapshot

EEG classification for the detection of mental states

inferred← citeshttps://doi.org/10.1016/j.asoc.2026.116596openalex-snapshot

Residual graph convolutional network for motor imagery EEG signal classification based on transformer-enhanced features

inferred← citeshttps://doi.org/10.1016/j.bandl.2010.09.013openalex-snapshot

EEG decoding of semantic category reveals distributed representations for single concepts

inferred← citeshttps://doi.org/10.1016/j.bbe.2024.11.003openalex-snapshot

Classification of motor imagery EEG signals using wavelet scattering transform and Bi-directional long short-term memory networks

inferred← citeshttps://doi.org/10.1016/j.bspc.2012.03.004openalex-snapshot

Using eigenstructure decompositions of time-varying autoregressions in common spatial patterns-based EEG signal classification

inferred← citeshttps://doi.org/10.1016/j.bspc.2015.12.005openalex-snapshot

Robust common spatial patterns with sparsity

inferred← citeshttps://doi.org/10.1016/j.bspc.2018.12.027openalex-snapshot

Separated channel convolutional neural network to realize the training free motor imagery BCI systems

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102702openalex-snapshot

Spatio-time-frequency joint sparse optimization with transfer learning in motor imagery-based brain-computer interface system

inferred← citeshttps://doi.org/10.1016/j.bspc.2021.102930openalex-snapshot

RCTP: Regularized common tensor pattern for rapid serial visual presentation spellers

inferred← citeshttps://doi.org/10.1016/j.bspc.2023.105745openalex-snapshot

A procedure to minimize EEG variability for BCI applications

inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106671openalex-snapshot

Self-supervised machine learning approach for autism detection in young children using MEG signals

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.108783openalex-snapshot

The impacts of temporal autocorrelations on EEG decoding

inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109326openalex-snapshot

OSFTL-PL: Online source-free transfer learning with pseudo-labels for privacy-preserving EEG-based BCI

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.109669openalex-snapshot

Identifying relevant EEG features for personalized emotional videos: a cross-population analysis in healthy controls and patients with disorders of consciousness

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110226openalex-snapshot

Efficient multi-class motor imagery EEG classification with cosine convolution and channel-group spatial feature extraction

inferred← citeshttps://doi.org/10.1016/j.bspc.2026.110460openalex-snapshot

Improving motor imagery based BCI through metric learning

inferred← citeshttps://doi.org/10.1016/j.clinph.2014.03.028openalex-snapshot

An automated and fast approach to detect single-trial visual evoked potentials with application to brain–computer interface

inferred← citeshttps://doi.org/10.1016/j.clinph.2023.09.005openalex-snapshot

Towards real-time identification of large-scale brain states for improved brain state-dependent stimulation

inferred← citeshttps://doi.org/10.1016/j.cmpb.2021.106150openalex-snapshot

Sub-band target alignment common spatial pattern in brain-computer interface

inferred← citeshttps://doi.org/10.1016/j.cmpb.2022.106961openalex-snapshot

Decoding locomotion speed and slope from local field potentials of rat motor cortex

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2016.10.004openalex-snapshot

A periodic spatio-spectral filter for event-related potentials

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.105299openalex-snapshot

Multiscale time-frequency method for multiclass Motor Imagery Brain Computer Interface

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2022.106088openalex-snapshot

Wearable electroencephalography and multi-modal mental state classification: A systematic literature review

inferred← citeshttps://doi.org/10.1016/j.compbiomed.2024.109097openalex-snapshot

SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals

inferred← citeshttps://doi.org/10.1016/j.ebiom.2024.105259openalex-snapshot

Machine learning of brain-specific biomarkers from EEG

inferred← citeshttps://doi.org/10.1016/j.engappai.2019.103455openalex-snapshot

Real-time EEG classification via coresets for BCI applications

inferred← citeshttps://doi.org/10.1016/j.eswa.2017.07.033openalex-snapshot

Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113202openalex-snapshot

Classification of user competency levels using EEG and convolutional neural network in 3D modelling application

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124775openalex-snapshot

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals

inferred← citeshttps://doi.org/10.1016/j.ijpsycho.2014.07.009openalex-snapshot

The advantages of the surface Laplacian in brain–computer interface research

inferred← citeshttps://doi.org/10.1016/j.isci.2023.108734openalex-snapshot

Measuring neuronal avalanches to inform brain-computer interfaces

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2010.03.002openalex-snapshot

Time-shift denoising source separation

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2014.12.012openalex-snapshot

Automated identification of neural correlates of continuous variables

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2016.01.005openalex-snapshot

Sparse time artifact removal

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2021.109367openalex-snapshot

Convolutional neural networks for decoding electroencephalography responses and visualizing trial by trial changes in discriminant features

inferred← citeshttps://doi.org/10.1016/j.jneumeth.2023.109953openalex-snapshot

Self-attention-based convolutional neural network and time-frequency common spatial pattern for enhanced motor imagery classification

inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110383openalex-snapshot

Automated labeling and online evaluation for self-paced movement detection BCI

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112668openalex-snapshot

CSP-Net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification

inferred← citeshttps://doi.org/10.1016/j.media.2016.08.003openalex-snapshot

Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging : A spatial filtering approach

inferred← citeshttps://doi.org/10.1016/j.neucom.2012.12.003openalex-snapshot

Greedy solutions for the construction of sparse spatial and spatio-spectral filters in brain computer interface applications

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.08.119openalex-snapshot

Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126260openalex-snapshot

Cross task neural architecture search for EEG signal recognition

inferred← citeshttps://doi.org/10.1016/j.neulet.2012.07.031openalex-snapshot

Balancing a simulated inverted pendulum through motor imagery: An EEG-based real-time control paradigm

inferred← citeshttps://doi.org/10.1016/j.neunet.2009.06.035openalex-snapshot

A linear feature space for simultaneous learning of spatio-spectral filters in BCI

inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106148openalex-snapshot

Decoding emotion with phase–amplitude fusion features of EEG functional connectivity network

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107511openalex-snapshot

Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2011.10.084openalex-snapshot

Quadratic component analysis

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2013.05.017openalex-snapshot

A novel approach to predict subjective pain perception from single-trial laser-evoked potentials

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2014.05.068openalex-snapshot

Joint decorrelation, a versatile tool for multichannel data analysis

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2020.117614openalex-snapshot

Shared component analysis

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2022.118994openalex-snapshot

Robust learning from corrupted EEG with dynamic spatial filtering

inferred← citeshttps://doi.org/10.1016/j.neuroimage.2026.122219openalex-snapshot

A generalizable OPM-MEG framework for time-resolved language decoding during natural speech production

inferred← citeshttps://doi.org/10.1016/j.patter.2025.101182openalex-snapshot

GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals

inferred← citeshttps://doi.org/10.1016/j.sigpro.2020.107942openalex-snapshot

L1-norm unsupervised Fukunaga-Koontz transform

inferred← citeshttps://doi.org/10.1016/j.softx.2023.101371openalex-snapshot

MartMi-BCI: A matlab-based real-time motor imagery brain-computer interface platform

inferred← citeshttps://doi.org/10.1016/s1388-2457(00)00345-xopenalex-snapshot

Classification of movement-related EEG in a memorized delay task experiment

inferred← citeshttps://doi.org/10.1016/s1388-2457(98)00038-8openalex-snapshot

Designing optimal spatial filters for single-trial EEG classification in a movement task

inferred← citeshttps://doi.org/10.1016/s1388-2457(98)00056-xopenalex-snapshot

Common spatial subspace decomposition applied to analysis of brain responses under multiple task conditions: a simulation study

inferred← citeshttps://doi.org/10.1038/s41467-024-48747-7openalex-snapshot

A 3D ray traced biological neural network learning model

inferred← citeshttps://doi.org/10.1038/s41597-023-02787-8openalex-snapshot

An EEG motor imagery dataset for brain computer interface in acute stroke patients

inferred← citeshttps://doi.org/10.1038/s41597-025-05767-2openalex-snapshot

Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients

inferred← citeshttps://doi.org/10.1038/s41598-018-28295-zopenalex-snapshot

Across-subject offline decoding of motor imagery from MEG and EEG

inferred← citeshttps://doi.org/10.1038/srep43916openalex-snapshot

EEG in the classroom: Synchronised neural recordings during video presentation

inferred← citeshttps://doi.org/10.1080/0305215x.2011.641542openalex-snapshot

Multi-objective metaheuristics for preprocessing EEG data in brain–computer interfaces

inferred← citeshttps://doi.org/10.1080/03091902.2026.2720510openalex-snapshot

MI recognition by subject specific localised frequency fusion

inferred← citeshttps://doi.org/10.1080/10255842.2025.2566260openalex-snapshot

EEG-based motor execution classification of upper and lower extremities using machine learning

inferred← citeshttps://doi.org/10.1080/2326263x.2021.2015149openalex-snapshot

High-wearable EEG-based transducer for engagement detection in pediatric rehabilitation

inferred← citeshttps://doi.org/10.1080/2326263x.2022.2114225openalex-snapshot

Examination of effectiveness of kinaesthetic haptic feedback for motor imagery-based brain-computer interface training

inferred← citeshttps://doi.org/10.1080/27706710.2023.2249036openalex-snapshot

Pattern recognition of schizophrenia based on multidimensional spatial feature fusion

inferred← citeshttps://doi.org/10.1088/1741-2552/aa61bbopenalex-snapshot

Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices and its application in brain–computer interfaces

inferred← citeshttps://doi.org/10.1088/1741-2552/aa7778openalex-snapshot

Task-induced frequency modulation features for brain-computer interfacing

inferred← citeshttps://doi.org/10.1088/1741-2552/aa8235openalex-snapshot

Inferring imagined speech using EEG signals: a new approach using Riemannian manifold features

inferred← citeshttps://doi.org/10.1088/1741-2552/aadea0openalex-snapshot

MOABB: trustworthy algorithm benchmarking for BCIs

inferred← citeshttps://doi.org/10.1088/1741-2552/ab6f15openalex-snapshot

DWT and CNN based multi-class motor imagery electroencephalographic signal recognition

inferred← citeshttps://doi.org/10.1088/1741-2552/ab839eopenalex-snapshot

Tangent space spatial filters for interpretable and efficient Riemannian classification

inferred← citeshttps://doi.org/10.1088/1741-2552/ab95ebopenalex-snapshot

Spatial covariance improves BCI performance for late ERPs components with high temporal variability

inferred← citeshttps://doi.org/10.1088/1741-2552/abf291openalex-snapshot

The Riemannian spatial pattern method: mapping and clustering movement imagery using Riemannian geometry

inferred← citeshttps://doi.org/10.1088/1741-2552/ac28d4openalex-snapshot

Decoding pain from brain activity

inferred← citeshttps://doi.org/10.1088/1741-2552/acae0aopenalex-snapshot

Stereo-EEG recordings extend known distributions of canonical movement-related oscillations

inferred← citeshttps://doi.org/10.1088/1741-2552/acfe9copenalex-snapshot

Cross-dataset transfer learning for motor imagery signal classification via multi-task learning and pre-training

inferred← citeshttps://doi.org/10.1088/1741-2552/ad0a01openalex-snapshot

Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals

inferred← citeshttps://doi.org/10.1088/1741-2552/ad17f2openalex-snapshot

Towards user-centric BCI design: Markov chain-based user assessment for mental imagery EEG-BCIs

inferred← citeshttps://doi.org/10.1088/1741-2552/ad5404openalex-snapshot

Blindly separated spontaneous network-level oscillations predict corticospinal excitability

inferred← citeshttps://doi.org/10.1088/1741-2552/ad7a24openalex-snapshot

Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data

inferred← citeshttps://doi.org/10.1088/1741-2552/ad8efcopenalex-snapshot

Patient-specific visual neglect severity estimation for stroke patients with neglect using EEG

inferred← citeshttps://doi.org/10.1088/1741-2552/aded35openalex-snapshot

A reliable and reproducible real-time access to sensorimotor rhythm with a small number of optically pumped magnetometers

inferred← citeshttps://doi.org/10.1088/1741-2552/ae2717openalex-snapshot

Lightweight deep learning models for EEG decoding: a review

inferred← citeshttps://doi.org/10.1088/1741-2560/12/2/026012openalex-snapshot

EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)

inferred← citeshttps://doi.org/10.1088/1741-2560/12/6/066020openalex-snapshot

Scanning for oscillations

inferred← citeshttps://doi.org/10.1088/1741-2560/13/2/026021openalex-snapshot

Decoding three-dimensional reaching movements using electrocorticographic signals in humans

inferred← citeshttps://doi.org/10.1088/1741-2560/9/4/045009openalex-snapshot

The analytic common spatial patterns method for EEG-based BCI data

inferred← citeshttps://doi.org/10.1097/wnp.0b013e3181f52f2dopenalex-snapshot

Channel Selection for Optimizing Feature Extraction in an Electrocorticogram-Based Brain-Computer Interface

inferred← citeshttps://doi.org/10.1101/093922openalex-snapshot

Localizing hidden regularities with known temporal structure in the EEG evoked response data

inferred← citeshttps://doi.org/10.1101/2022.02.27.482148openalex-snapshot

Local Subspace Pruning (LSP) for Multichannel Data Denoising

inferred← citeshttps://doi.org/10.1101/2022.03.28.486094openalex-snapshot

Classification of Movement-Related Oscillations in sEEG Recordings with Machine Learning

inferred← citeshttps://doi.org/10.1101/2022.09.26.509536openalex-snapshot

Covariance-based decoding reveals content-specific feature integration and top-down processing during visual imagery

inferred← citeshttps://doi.org/10.1101/2025.11.19.689125openalex-snapshot

The Rayleigh Quotient and Contrastive Principal Component Analysis I

inferred← citeshttps://doi.org/10.1109/10.362918openalex-snapshot

Principal-component localization of the sources of the background EEG

inferred← citeshttps://doi.org/10.1109/access.2020.2967814openalex-snapshot

Common Cross-Spectral Patterns of Electroencephalography for Reliable Cognitive Task Identification

inferred← citeshttps://doi.org/10.1109/access.2020.3011969openalex-snapshot

MLP With Riemannian Covariance for Motor Imagery Based EEG Analysis

inferred← citeshttps://doi.org/10.1109/access.2020.3048683openalex-snapshot

Transfer Learning Based on Hybrid Riemannian and Euclidean Space Data Alignment and Subject Selection in Brain-Computer Interfaces

inferred← citeshttps://doi.org/10.1109/access.2022.3176367openalex-snapshot

An Interpretable Deep Learning Classifier for Epileptic Seizure Prediction Using EEG Data

inferred← citeshttps://doi.org/10.1109/access.2022.3204758openalex-snapshot

Rethinking CNN Architecture for Enhancing Decoding Performance of Motor Imagery-Based EEG Signals

inferred← citeshttps://doi.org/10.1109/access.2023.3323209openalex-snapshot

Reduction of Crosstalk in the Electromyogram: Experimental Validation of the Optimal Spatio-Temporal Filter

inferred← citeshttps://doi.org/10.1109/access.2023.3339857openalex-snapshot

A Region of Interest-Based Electrophysiological Source Imaging Technology and its Applications in Analysis of Motor Imagery EEG Signals

inferred← citeshttps://doi.org/10.1109/acssc.2011.6189967openalex-snapshot

Sparse common spatial patterns with recursive weight elimination

inferred← citeshttps://doi.org/10.1109/ai4i54798.2022.00018openalex-snapshot

Evaluation of different deep learning approaches for EEG classification

inferred← citeshttps://doi.org/10.1109/apsipa.2017.8282128openalex-snapshot

Simultaneous bio-signal measurement system for multiple users — development and validation

inferred← citeshttps://doi.org/10.1109/bci65088.2025.10931335openalex-snapshot

Optimized Time Window Segmentation for Motor Imagery EEG Classification: An Ant Colony Optimization-Based Approach

inferred← citeshttps://doi.org/10.1109/bibm49941.2020.9313336openalex-snapshot

Channel Selection based Similarity Measurement for Motor Imagery Classification

inferred← citeshttps://doi.org/10.1109/bmeicon66226.2025.11113663openalex-snapshot

Common Spatial Pattern Variants for Feature Extraction in Multi-Class Motor Imagery BCI

inferred← citeshttps://doi.org/10.1109/bsb.2018.8770695openalex-snapshot

EEG Emotion Detection Using Multi-Model Classification

inferred← citeshttps://doi.org/10.1109/cac51589.2020.9326644openalex-snapshot

Robust Fisher Linear Discriminant Analysis with Generalized Correntropic Loss Function

inferred← citeshttps://doi.org/10.1109/cac53003.2021.9728576openalex-snapshot

Multi-class MI-EEG Classification: Using FBCSP and Ensemble Learning Based on Majority Voting

inferred← citeshttps://doi.org/10.1109/cbms61543.2024.00097openalex-snapshot

Deep Learning Architecture analysis for EEG-Based BCI Classification under Motor Execution

inferred← citeshttps://doi.org/10.1109/ccdc.2012.6244236openalex-snapshot

EEG based automatic left-right hand movement classification

inferred← citeshttps://doi.org/10.1109/cibcb49929.2021.9562821openalex-snapshot

CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet

inferred← citeshttps://doi.org/10.1109/cnn63506.2024.10705815openalex-snapshot

Detection of the Intention to Perform a Two-Staged Movement from EEG Signals

inferred← citeshttps://doi.org/10.1109/compsac.2019.10253openalex-snapshot

Scalable Motor Movement Recognition from Electroencephalography using Machine Learning

inferred← citeshttps://doi.org/10.1109/ecace.2019.8679487openalex-snapshot

Designing a Hierarchical Keyboard Layout for Brain Computer Interface Based Text Entry

inferred← citeshttps://doi.org/10.1109/embc.2014.6944656openalex-snapshot

Using Empirical Mode Decomposition with Spatio-Temporal dynamics to classify single-trial Motor Imagery in BCI

inferred← citeshttps://doi.org/10.1109/embc40787.2023.10340449openalex-snapshot

Autism Detection in Children using Common Spatial Patterns of MEG Signals

inferred← citeshttps://doi.org/10.1109/embc46164.2021.9630561openalex-snapshot

Common Spatial Pattern EEG decomposition for Phantom Limb Pain detection

inferred← citeshttps://doi.org/10.1109/embc48229.2022.9871590openalex-snapshot

A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder

inferred← citeshttps://doi.org/10.1109/embc58623.2025.11253045openalex-snapshot

Prediction of hypnotic trance with brain-evoked responses to an auditory oddball using magnetoencephalography

inferred← citeshttps://doi.org/10.1109/gcis.2009.152openalex-snapshot

Optimal Local Temporal Common Spatial Patterns for Single-trial EEG Classification

inferred← citeshttps://doi.org/10.1109/globalsip.2015.7418310openalex-snapshot

Motor imagery classification using multiresolution analysis and sparse representation of EEG signals

inferred← citeshttps://doi.org/10.1109/globalsip.2018.8646445openalex-snapshot

IMPROVING THE PERFORMANCE OF MOTOR IMAGERY EEG-BASED BCIS VIA AN ADAPTIVE EPOCH TRIMMING MECHANISM

inferred← citeshttps://doi.org/10.1109/hsi.2018.8431214openalex-snapshot

Influence Analysis of Common Spatial Pattern Properties to BCI Accuracy

inferred← citeshttps://doi.org/10.1109/icacc.2010.5486907openalex-snapshot

Discrimination between idle and work states in BCI based on SSVEP

inferred← citeshttps://doi.org/10.1109/icassp.2010.5495663openalex-snapshot

Hierarchical Bayesian modeling of inter-trial variability and variational Bayesian learning of common spatial patterns from multichannel EEG

inferred← citeshttps://doi.org/10.1109/icassp.2011.5946458openalex-snapshot

Sparse common spatial patterns in brain computer interface applications

inferred← citeshttps://doi.org/10.1109/icassp49357.2023.10096408openalex-snapshot

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems

inferred← citeshttps://doi.org/10.1109/icbme49163.2019.9030390openalex-snapshot

An Auto-Adaptive Approach Towards Subject-Independent Motor Imagery BCI

inferred← citeshttps://doi.org/10.1109/iccerec.2017.8226692openalex-snapshot

Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal

inferred← citeshttps://doi.org/10.1109/iccni.2017.8123799openalex-snapshot

EEG feature extraction using common spatial pattern with spectral graph decomposition

inferred← citeshttps://doi.org/10.1109/icdh.2016.049openalex-snapshot

A Robust Feature Set for Wearable Multichannel Myoelectric Devices in Practice

inferred← citeshttps://doi.org/10.1109/icedsa.2016.7818547openalex-snapshot

Classification of ECG signals of normal and abnormal subjects using common spatial pattern

inferred← citeshttps://doi.org/10.1109/icedsa.2016.7818564openalex-snapshot

A common spatial pattern approach for scalp EEG seizure detection

inferred← citeshttps://doi.org/10.1109/iceidt66693.2025.11473525openalex-snapshot

Quantized Compact 3D-CNN with High Classification Accuracy in Motor Imagery Brain-Computer Interface

inferred← citeshttps://doi.org/10.1109/icm48031.2019.9021752openalex-snapshot

BCI Integrated with VR for Rehabilitation

inferred← citeshttps://doi.org/10.1109/icpr.2006.251openalex-snapshot

An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems

inferred← citeshttps://doi.org/10.1109/icra48506.2021.9560928openalex-snapshot

Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG

inferred← citeshttps://doi.org/10.1109/icspcc.2018.8567789openalex-snapshot

Spatial Filtering for Brain Computer Interfaces: A Comparison between the Common Spatial Pattern and Its Variant

inferred← citeshttps://doi.org/10.1109/iecon.2012.6388513openalex-snapshot

Invariant common spatial pattern advanced feature extraction in mu rhythms of EEG signals

inferred← citeshttps://doi.org/10.1109/iembs.2005.1616947openalex-snapshot

One-Versus-the-Rest(OVR) Algorithm: An Extension of Common Spatial Patterns(CSP) Algorithm to Multi-class Case

inferred← citeshttps://doi.org/10.1109/iembs.2009.5332646openalex-snapshot

A probabilistic framework for learning robust common spatial patterns

inferred← citeshttps://doi.org/10.1109/iembs.2011.6091341openalex-snapshot

Classification of multichannel ECoG related to individual finger movements with redundant spatial projections

inferred← citeshttps://doi.org/10.1109/ijcnn.2017.7966388openalex-snapshot

Restricted exhaustive search for frequency band selection in motor imagery classification

inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10650010openalex-snapshot

Olfactory Paradigm for Reactive Brain-Computer Interface: EEG Response Spatial Visualization and Clustering

inferred← citeshttps://doi.org/10.1109/iraniancee.2016.7585584openalex-snapshot

Information based source number estimation for probabilistic common spatial pattern in motor imagery BCI system

inferred← citeshttps://doi.org/10.1109/isms.2014.40openalex-snapshot

A Study and Performance Analysis of Three Paradigms of Wavelet Coefficients Combinations in Three-Class Motor Imagery Based BCI

inferred← citeshttps://doi.org/10.1109/isspit.2018.8642709openalex-snapshot

Target Frequency Band of Cognition and Tempo of Music: Cardiac Synchronous EEG

inferred← citeshttps://doi.org/10.1109/isspit.2018.8642740openalex-snapshot

Target Frequency Band of Cognition and Tempo of Music: Cardiac Synchronous EEG

inferred← citeshttps://doi.org/10.1109/jbhi.2017.2703873openalex-snapshot

Adaptive Seizure Onset Detection Framework Using a Hybrid PCA–CSP Approach

inferred← citeshttps://doi.org/10.1109/jbhi.2025.3536212openalex-snapshot

Fine-Grained Spatial-Frequency-Time Framework for Motor Imagery Brain–Computer Interface

showing the first 200 of 349 · page through all 349

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.