Srikantan S. Nagarajan

Orcid: 0000-0001-7209-3857

According to our database1, Srikantan S. Nagarajan authored at least 99 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to neural engineering and biomagnetic brain imaging".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.
IEEE Trans. Medical Imaging, February, 2024

2023
Dynamic functional connectivity MEG features of Alzheimer's disease.
NeuroImage, November, 2023

Bayesian inference of a spectral graph model for brain oscillations.
NeuroImage, October, 2023

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.
IEEE Trans. Medical Imaging, September, 2023

A joint subspace mapping between structural and functional brain connectomes.
NeuroImage, May, 2023

Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging.
IEEE Trans. Medical Imaging, March, 2023

Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech.
PLoS Comput. Biol., 2023

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Graph Convolutional Learning of Multimodal Brain Connectome Data for Schizophrenia Classification.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Advances in Imaging of Neural Oscillations.
Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

2022
Spectral graph theory of brain oscillations - -Revisited and improved.
NeuroImage, 2022

Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging.
NeuroImage, 2022

Empirical Bayesian localization of event-related time-frequency neural activity dynamics.
NeuroImage, 2022

Magnetoencephalography Imaging Reveals Abnormal Information Flow in Temporal Lobe Epilepsy.
Brain Connect., 2022

2021
Emergence of canonical functional networks from the structural connectome.
NeuroImage, 2021

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.
NeuroImage, 2021

Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm.
NeuroImage, 2021

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging.
IEEE Trans. Medical Imaging, 2020

Cross-modal plasticity in adult single-sided deafness revealed by alpha band resting-state functional connectivity.
NeuroImage, 2020

Language Neuroplasticity in Brain Tumor Patients Revealed by Magnetoencephalography.
J. Cogn. Neurosci., 2020

2019
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization.
IEEE Trans. Biomed. Eng., 2019

The FACTS model of speech motor control: Fusing state estimation and task-based control.
PLoS Comput. Biol., 2019

Evaluation of a dual signal subspace projection algorithm in magnetoencephalographic recordings from patients with intractable epilepsy and vagus nerve stimulators.
NeuroImage, 2019

Robust Bayesian algorithm for distributed source reconstructions MEG/EEG data.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction.
NeuroImage, 2018

Variation sparse source imaging based on conditional mean for electromagnetic extended sources.
Neurocomputing, 2018

FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback.
Proceedings of the Interspeech 2018, 2018

2017
Hierarchical multiscale Bayesian algorithms for biomagnetic brain imaging.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016
Bayesian Machine Learning: EEG\/MEG signal processing measurements.
IEEE Signal Process. Mag., 2016

Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.
NeuroImage, 2016

A New Model of Speech Motor Control Based on Task Dynamics and State Feedback.
Proceedings of the Interspeech 2016, 2016

2015
Changes in consonant perception driven by adaptation of vowel production to altered auditory feedback.
Proceedings of the 18th International Congress of Phonetic Sciences, 2015

The contribution of auditory feedback to corrective movements in vowel formant trajectories.
Proceedings of the 18th International Congress of Phonetic Sciences, 2015

2014
Intensive cognitive training in schizophrenia enhances working memory and associated prefrontal cortical efficiency in a manner that drives long-term functional gains.
NeuroImage, 2014

Optimal timing of pulse onset for language mapping with navigated repetitive transcranial magnetic stimulation.
NeuroImage, 2014

A bilateral cortical network responds to pitch perturbations in speech feedback.
NeuroImage, 2014

2013
Language mapping with navigated repetitive TMS: Proof of technique and validation.
NeuroImage, 2013

Resting-State Networks and the Functional Connectome of the Human Brain in Agenesis of the Corpus Callosum.
Brain Connect., 2013

A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Residual coherence and residual envelope correlation in MEG/EEG source-space connectivity analysis.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data.
NeuroImage, 2012

Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis
CoRR, 2012

2011
Latent Variable Bayesian Models for Promoting Sparsity.
IEEE Trans. Inf. Theory, 2011

Removal of Spurious Coherence in MEG Source-Space Coherence Analysis.
IEEE Trans. Biomed. Eng., 2011

Measuring functional connectivity using MEG: Methodology and comparison with fcMRI.
NeuroImage, 2011

Cortical Spatio-temporal Dynamics Underlying Phonological Target Detection in Humans.
J. Cogn. Neurosci., 2011

MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG.
Comput. Intell. Neurosci., 2011

2010
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG.
NeuroImage, 2010

Spatiotemporal imaging of cortical activation during verb generation and picture naming.
NeuroImage, 2010

Iterative Reweighted <sub>1</sub> and <sub>2</sub> Methods for Finding Sparse Solutions.
IEEE J. Sel. Top. Signal Process., 2010

Sparse Spatio-temporal Inference of Electromagnetic Brain Sources.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010

Supervised topic model for automatic image annotation.
Proceedings of the IEEE International Conference on Acoustics, 2010

Advances in electromagnetic brain imaging.
Proceedings of the Human Vision and Electronic Imaging XV, 2010

Topic regression multi-modal Latent Dirichlet Allocation for image annotation.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG.
IEEE Trans. Biomed. Eng., 2009

Source Localization of EEG/MEG Data by Correlating Columns of ICA and Lead Field Matrices.
IEEE Trans. Biomed. Eng., 2009

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation.
IEEE Trans. Speech Audio Process., 2009

A unified Bayesian framework for MEG/EEG source imaging.
NeuroImage, 2009

Motor-induced Suppression of the Auditory Cortex.
J. Cogn. Neurosci., 2009

Sparse Estimation Using General Likelihoods and Non-Factorial Priors.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Independent factor topic models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model.
IEEE Trans. Neural Networks, 2008

Performance of Prewhitening Beamforming in MEG Dual Experimental Conditions.
IEEE Trans. Biomed. Eng., 2008

Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data.
NeuroImage, 2008

Fast oscillations associated with interictal spikes localize the epileptogenic zone in patients with partial epilepsy.
NeuroImage, 2008

Five-dimensional neuroimaging: Localization of the time-frequency dynamics of cortical activity.
NeuroImage, 2008

Denoising of magnetoencephalographic data using spatial averaging.
Neurocomputing, 2008

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm.
Signal Process., 2007

A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data.
NeuroImage, 2007

Neural Mechanisms of the Time-order Error: An MEG Study.
J. Cogn. Neurosci., 2007

A New View of Automatic Relevance Determination.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Beamforming using the relevance vector machine.
Proceedings of the Machine Learning, 2007

Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text.
Proceedings of the IEEE International Conference on Acoustics, 2007

Source Localization of EEG/MEG Data by Correlating Columns of ICA Solution with Lead Field Matrix.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist.
IEEE Trans. Biomed. Eng., 2006

Modified beamformers for coherent source region suppression.
IEEE Trans. Biomed. Eng., 2006

Controlled Support MEG imaging.
NeuroImage, 2006

A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity.
NeuroImage, 2006

Two probabilistic algorithms for MEG/EEG source reconstruction.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Partitioned Factor Analysis for Interference Suppression and Source Extraction.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction.
NeuroImage, 2005

A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images.
NeuroImage, 2005

Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction.
IEEE Trans. Biomed. Eng., 2004

Performance of an MEG adaptive-beamformer source reconstruction technique in the presence of additive low-rank interference.
IEEE Trans. Biomed. Eng., 2004

Subcortical pathways serving cortical language sites: initial experience with diffusion tensor imaging fiber tracking combined with intraoperative language mapping.
NeuroImage, 2004

2003
Analysis of efficiency of magnetic stimulation.
IEEE Trans. Biomed. Eng., 2003

Reconstructing MEG Sources with Unknown Correlations.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: effects on signal intensity and time-course estimates.
IEEE Trans. Biomed. Eng., 2002

Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: correlation-coefficient estimation and time-course retrieval.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique.
IEEE Trans. Biomed. Eng., 2001

Reconstructing spatio-temporal activities of neural sources from magnetoencephalographic data using a vector beamformer.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Estimating neural sources from each time-frequency component of magnetoencephalographic data.
IEEE Trans. Biomed. Eng., 2000

1999
Time-Frequency MEG-MUSIC Algorithm.
IEEE Trans. Medical Imaging, 1999


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