Citation Impact
Citing Papers
Brain activity at rest: a multiscale hierarchical functional organization
2011
Electrophysiological signatures of resting state networks in the human brain
2007 Standout
Augmenting supervised neural networks with unsupervised objectives for large-scale image classification
2016
Brain–computer interfaces for communication and control
2002 Standout
Beyond mind-reading: multi-voxel pattern analysis of fMRI data
2006 Standout
Alpha-band oscillations, attention, and controlled access to stored information
2012 Standout
Non-linear PCA: a missing data approach
2005
Removal of ocular artifact from the EEG: a review
2000
Different Modes of Pitch Perception and Learning‐InducedNeuronal Plasticity of the Human Auditory Cortex
2002
Microstructure of a spatial map in the entorhinal cortex
2005 StandoutNatureNobel
Learning the parts of objects by non-negative matrix factorization
1999 StandoutNature
Updating P300: An integrative theory of P3a and P3b
2007 Standout
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons
2021 StandoutNobel
The free-energy principle: a unified brain theory?
2010 Standout
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
2009 Standout
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
2004 Standout
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
2014 Standout
The “independent components” of natural scenes are edge filters
1997
EEG alpha oscillations: The inhibition–timing hypothesis
2006 Standout
Tracking Whole-Brain Connectivity Dynamics in the Resting State
2012 Standout
The WU-Minn Human Connectome Project: An overview
2013 Standout
Event-related fast optical signal in a rapid object recognition task: Improving detection by the independent component analysis
2008
The role of the posterior cingulate cortex in cognition and disease
2013 Standout
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
1996 StandoutNature
A novel mechanism for evoked responses in the human brain
2007
Artifact Removal in Magnetoencephalogram Background Activity With Independent Component Analysis
2007
The Future of Memory: Remembering, Imagining, and the Brain
2012 StandoutNobel
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
2011 Standout
Musical Training as a Framework for Brain Plasticity: Behavior, Function, and Structure
2012 Standout
Transcranial focused ultrasound modulates the activity of primary somatosensory cortex in humans
2014 Standout
Functional-Anatomic Fractionation of the Brain's Default Network
2010 Standout
Default-mode brain dysfunction in mental disorders: A systematic review
2008
Normalized Cut Group Clustering of Resting-State fMRI Data
2008
Representation Learning: A Review and New Perspectives
2013 Standout
Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects
1999 Standout
Test–retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy
2010
Linear Spatial Integration for Single-Trial Detection in Encephalography
2002
Artifact reduction in magnetoneurography based on time-delayed second-order correlations
2000
Learning multiple layers of representation
2007 StandoutNobel
Fast and robust fixed-point algorithms for independent component analysis
1999 Standout
Mining event-related brain dynamics
2004
Artifact Processing in Computerized Analysis of Sleep EEG – A Review
1999
A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology
2013 Standout
Metabolite fingerprinting: detecting biological features by independent component analysis
2004
Large-scale brain networks and psychopathology: a unifying triple network model
2011 Standout
Gas chromatography mass spectrometry–based metabolite profiling in plants
2006 Standout
Two‐Phase Computational Model Training Long‐Term Memories in the Entorhinal‐Hippocampal Region
2000
Deep learning in neural networks: An overview
2014 Standout
Survey of Clustering Algorithms
2005 Standout
Independent component analysis: algorithms and applications
2000 Standout
Vertex component analysis: a fast algorithm to unmix hyperspectral data
2005 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
A theory of cortical responses
2005 Standout
Topographic Independent Component Analysis
2001
<title>Independent component analysis for remote sensing study</title>
1999
Functional Networks in the Anesthetized Rat Brain Revealed by Independent Component Analysis of Resting-State fMRI
2010
Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
2000
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources
1999
Functionally Independent Components of the Late Positive Event-Related Potential during Visual Spatial Attention
1999
Image Super-Resolution Via Sparse Representation
2010 Standout
A Global Geometric Framework for Nonlinear Dimensionality Reduction
2000 StandoutScience
Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision
2000 StandoutScience
Statistical pattern recognition: a review
2000 Standout
Natural Image Statistics and Neural Representation
2001 Standout
Statistical shape analysis: clustering, learning, and testing
2005 Standout
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
1998 Standout
Clustering by fast search and find of density peaks
2014 StandoutScience
Investigations into resting-state connectivity using independent component analysis
2005 Standout
Recent advances in convolutional neural networks
2017 Standout
Correspondence of the brain's functional architecture during activation and rest
2009 Standout
Blind signal separation: statistical principles
1998
Definitions, methods, and applications in interpretable machine learning
2019 Standout
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
2006 Standout
Learning Sparse Overcomplete Codes for Images
2006
Learning Sparse Overcomplete Codes for Images
2006
Unsupervised signature extraction and separation in hyperspectral images: a noise-adjusted fast independent component analysis approach
2000
Blind separation of auditory event-related brain responses into independent components
1997
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
1995 Standout
The nonlinear PCA learning rule in independent component analysis
1997
A unifying information-theoretic framework for independent component analysis
2000
Natural Gradient Works Efficiently in Learning
1998
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017 Standout
Works of Ricardo Vigário being referenced
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings
1997
Independent component approach to the analysis of EEG and MEG recordings
2000
Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?
2000
A class of neural networks for independent component analysis
1997
Analyzing consistency of independent components: An fMRI illustration
2007
Extraction of ocular artefacts from EEG using independent component analysis
1997
Neural networks for blind separation with unknown number of sources
1999
Nonlinear PCA: a new hierarchical approach
2002