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Srikantan S. Nagarajan
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2020 – today
- 2024
- [j71]Jessica L. Gaines, Kwang S. Kim, Benjamin Parrell, Vikram Ramanarayanan, Alvincé L. Pongos, Srikantan S. Nagarajan, John F. Houde:
Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia. PLoS Comput. Biol. 20(10): 1011986 (2024) - [j70]Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging 43(2): 610-624 (2024) - [j69]Andrew P. Leynes, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson:
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction. IEEE Trans. Medical Imaging 43(6): 2358-2369 (2024) - [i3]Fangyi Wei, Jiajie Mo, Kai Zhang, Haipeng Shen, Srikantan S. Nagarajan, Fei Jiang:
Nested Deep Learning Model Towards A Foundation Model for Brain Signal Data. CoRR abs/2410.03191 (2024) - 2023
- [j68]Sanjay Ghosh, Ashish Raj, Srikantan S. Nagarajan:
A joint subspace mapping between structural and functional brain connectomes. NeuroImage 272: 119975 (2023) - [j67]Huaqing Jin, Parul Verma, Fei Jiang, Srikantan S. Nagarajan, Ashish Raj:
Bayesian inference of a spectral graph model for brain oscillations. NeuroImage 279: 120278 (2023) - [j66]Huaqing Jin, Kamalini G. Ranasinghe, Pooja Prabhu, Corby Dale, Yijing Gao, Kiwamu Kudo, Keith Vossel, Ashish Raj, Srikantan S. Nagarajan, Fei Jiang:
Dynamic functional connectivity MEG features of Alzheimer's disease. NeuroImage 281: 120358 (2023) - [j65]Kwang S. Kim, Jessica L. Gaines, Benjamin Parrell, Vikram Ramanarayanan, Srikantan S. Nagarajan, John F. Houde:
Mechanisms of sensorimotor adaptation in a hierarchical state feedback control model of speech. PLoS Comput. Biol. 19(7) (2023) - [j64]Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan:
Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging 42(3): 762-773 (2023) - [j63]Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan:
Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging 42(9): 2502-2512 (2023) - [c33]Srikantan S. Nagarajan:
Advances in Imaging of Neural Oscillations. BCI 2023: 1-2 - [c32]Sanjay Ghosh, Eshan Bhargava, Chieh-Te Lin, Srikantan S. Nagarajan:
Graph Convolutional Learning of Multimodal Brain Connectome Data for Schizophrenia Classification. ISBI 2023: 1-5 - [c31]Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan:
Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. ISBI 2023: 1-5 - 2022
- [j62]Kiwamu Kudo, Hirofumi Morise, Kamalini G. Ranasinghe, Danielle Mizuiri, Abhishek S. Bhutada, Jessie Chen, Anne M. Findlay, Heidi E. Kirsch, Srikantan S. Nagarajan:
Magnetoencephalography Imaging Reveals Abnormal Information Flow in Temporal Lobe Epilepsy. Brain Connect. 12(4): 362-373 (2022) - [j61]Parul Verma, Srikantan S. Nagarajan, Ashish Raj:
Spectral graph theory of brain oscillations - -Revisited and improved. NeuroImage 249: 118919 (2022) - [j60]Fei Jiang, Huaqing Jin, Yijing Gao, Xihe Xie, Jennifer Cummings, Ashish Raj, Srikantan S. Nagarajan:
Time-varying dynamic network model for dynamic resting state functional connectivity in fMRI and MEG imaging. NeuroImage 254: 119131 (2022) - [j59]Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan:
Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage 258: 119369 (2022) - 2021
- [j58]Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage 225: 117411 (2021) - [j57]Xihe Xie, Chang Cai, Pablo F. Damasceno, Srikantan S. Nagarajan, Ashish Raj:
Emergence of canonical functional networks from the structural connectome. NeuroImage 237: 118190 (2021) - [j56]Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage 239: 118309 (2021) - [c30]Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS 2021: 24855-24870 - [i2]Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe:
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR abs/2111.01692 (2021) - 2020
- [j55]Vitória Piai, Elke De Witte, Joanna Sierpowska, Xiaochen Zheng, Leighton B. Hinkley, Danielle Mizuiri, Robert T. Knight, Mitchel S. Berger, Srikantan S. Nagarajan:
Language Neuroplasticity in Brain Tumor Patients Revealed by Magnetoencephalography. J. Cogn. Neurosci. 32(8): 1497-1507 (2020) - [j54]Yingying Shang, Leighton B. N. Hinkley, Chang Cai, Danielle Mizuiri, Steven W. Cheung, Srikantan S. Nagarajan:
Cross-modal plasticity in adult single-sided deafness revealed by alpha band resting-state functional connectivity. NeuroImage 207 (2020) - [j53]Chang Cai, Mithun Diwakar, Dan Chen, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging. IEEE Trans. Medical Imaging 39(3): 567-577 (2020)
2010 – 2019
- 2019
- [j52]Chang Cai, Jiajing Xu, Jayabal Velmurugan, Robert Knowlton, Kensuke Sekihara, Srikantan S. Nagarajan, Heidi E. Kirsch:
Evaluation of a dual signal subspace projection algorithm in magnetoencephalographic recordings from patients with intractable epilepsy and vagus nerve stimulators. NeuroImage 188: 161-170 (2019) - [j51]Benjamin Parrell, Vikram Ramanarayanan, Srikantan S. Nagarajan, John F. Houde:
The FACTS model of speech motor control: Fusing state estimation and task-based control. PLoS Comput. Biol. 15(9) (2019) - [j50]Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan S. Nagarajan, Yuanqing Li:
Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization. IEEE Trans. Biomed. Eng. 66(9): 2457-2469 (2019) - [c29]Chang Cai, Kensuke Sekihara, Srikantan S. Nagarajan:
A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning. EMBC 2019: 4803-4806 - [c28]Chang Cai, Mithun Diwakar, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Bayesian algorithm for distributed source reconstructions MEG/EEG data. NER 2019: 336-339 - 2018
- [j49]Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan:
Variation sparse source imaging based on conditional mean for electromagnetic extended sources. Neurocomputing 313: 96-110 (2018) - [j48]Chang Cai, Kensuke Sekihara, Srikantan S. Nagarajan:
Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction. NeuroImage 183: 698-715 (2018) - [c27]Benjamin Parrell, Vikram Ramanarayanan, Srikantan S. Nagarajan, John F. Houde:
FACTS: A Hierarchical Task-based Control Model of Speech Incorporating Sensory Feedback. INTERSPEECH 2018: 1497-1501 - 2017
- [c26]Chang Cai, Kensuke Sekihara, Srikantan S. Nagarajan:
Hierarchical multiscale Bayesian algorithms for biomagnetic brain imaging. NER 2017: 142-145 - 2016
- [j47]Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li, Srikantan S. Nagarajan:
Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion. NeuroImage 139: 385-404 (2016) - [j46]Wei Wu, Srikantan S. Nagarajan, Zhe Chen:
Bayesian Machine Learning: EEG\/MEG signal processing measurements. IEEE Signal Process. Mag. 33(1): 14-36 (2016) - [c25]Vikram Ramanarayanan, Benjamin Parrell, Louis Goldstein, Srikantan S. Nagarajan, John F. Houde:
A New Model of Speech Motor Control Based on Task Dynamics and State Feedback. INTERSPEECH 2016: 3564-3568 - 2015
- [c24]Caroline Niziolek, Srikantan S. Nagarajan, John F. Houde:
The contribution of auditory feedback to corrective movements in vowel formant trajectories. ICPhS 2015 - [c23]Will Schuerman, Srikantan S. Nagarajan, John F. Houde:
Changes in consonant perception driven by adaptation of vowel production to altered auditory feedback. ICPhS 2015 - 2014
- [j45]Naomi S. Kort, Srikantan S. Nagarajan, John F. Houde:
A bilateral cortical network responds to pitch perturbations in speech feedback. NeuroImage 86: 525-535 (2014) - [j44]Karuna Subramaniam, Tracy L. Luks, Coleman Garrett, Cleo Chung, Melissa Fisher, Srikantan S. Nagarajan, Sophia Vinogradov:
Intensive cognitive training in schizophrenia enhances working memory and associated prefrontal cortical efficiency in a manner that drives long-term functional gains. NeuroImage 99: 281-292 (2014) - [j43]Sandro M. Krieg, Phiroz E. Tarapore, Thomas Picht, Noriko Tanigawa, John F. Houde, Nico Sollmann, Bernhard Meyer, Peter Vajkoczy, Mitchel S. Berger, Florian Ringel, Srikantan S. Nagarajan:
Optimal timing of pulse onset for language mapping with navigated repetitive transcranial magnetic stimulation. NeuroImage 100: 219-236 (2014) - 2013
- [j42]Julia P. Owen, Yi-Ou Li, Fanpei G. Yang, Charvi Shetty, Polina Bukshpun, Shivani Vora, Mari Wakahiro, Leighton B. N. Hinkley, Srikantan S. Nagarajan, Elliott H. Sherr, Pratik Mukherjee:
Resting-State Networks and the Functional Connectome of the Human Brain in Agenesis of the Corpus Callosum. Brain Connect. 3(6): 547-562 (2013) - [j41]Phiroz E. Tarapore, Anne M. Findlay, Susanne M. Honma, Danielle Mizuiri, John F. Houde, Mitchel S. Berger, Srikantan S. Nagarajan:
Language mapping with navigated repetitive TMS: Proof of technique and validation. NeuroImage 82: 260-272 (2013) - [c22]Kensuke Sekihara, Srikantan S. Nagarajan:
Residual coherence and residual envelope correlation in MEG/EEG source-space connectivity analysis. EMBC 2013: 4414-4417 - [c21]Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan:
A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. ISBI 2013: 560-563 - 2012
- [j40]Julia P. Owen, David P. Wipf, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data. NeuroImage 60(1): 305-323 (2012) - [i1]Kensuke Sekihara, Hagai Attias, Julia P. Owen, Srikantan S. Nagarajan:
Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis. CoRR abs/1211.3211 (2012) - 2011
- [j39]Sarang S. Dalal, Johanna M. Zumer, Adrian G. Guggisberg, Michael Trumpis, Daniel D. E. Wong, Kensuke Sekihara, Srikantan S. Nagarajan:
MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG. Comput. Intell. Neurosci. 2011: 758973:1-758973:17 (2011) - [j38]Edward F. Chang, Erik Edwards, Srikantan S. Nagarajan, Noa Fogelson, Sarang S. Dalal, Ryan T. Canolty, Heidi E. Kirsch, Nicholas M. Barbaro, Robert T. Knight:
Cortical Spatio-temporal Dynamics Underlying Phonological Target Detection in Humans. J. Cogn. Neurosci. 23(6): 1437-1446 (2011) - [j37]Matthew J. Brookes, Joanne R. Hale, Johanna M. Zumer, Claire M. Stevenson, Susan T. Francis, Gareth R. Barnes, Julia P. Owen, Peter G. Morris, Srikantan S. Nagarajan:
Measuring functional connectivity using MEG: Methodology and comparison with fcMRI. NeuroImage 56(3): 1082-1104 (2011) - [j36]Kensuke Sekihara, Julia P. Owen, Stephan Trisno, Srikantan S. Nagarajan:
Removal of Spurious Coherence in MEG Source-Space Coherence Analysis. IEEE Trans. Biomed. Eng. 58(11): 3121-3129 (2011) - [j35]David P. Wipf, Bhaskar D. Rao, Srikantan S. Nagarajan:
Latent Variable Bayesian Models for Promoting Sparsity. IEEE Trans. Inf. Theory 57(9): 6236-6255 (2011) - 2010
- [j34]David P. Wipf, Srikantan S. Nagarajan:
Iterative Reweighted 1 and 2 Methods for Finding Sparse Solutions. IEEE J. Sel. Top. Signal Process. 4(2): 317-329 (2010) - [j33]David P. Wipf, Julia P. Owen, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage 49(1): 641-655 (2010) - [j32]Erik Edwards, Srikantan S. Nagarajan, Sarang S. Dalal, Ryan T. Canolty, Heidi E. Kirsch, Nicholas M. Barbaro, Robert T. Knight:
Spatiotemporal imaging of cortical activation during verb generation and picture naming. NeuroImage 50(1): 291-301 (2010) - [c20]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Topic regression multi-modal Latent Dirichlet Allocation for image annotation. CVPR 2010: 3408-3415 - [c19]Srikantan S. Nagarajan:
Advances in electromagnetic brain imaging. Human Vision and Electronic Imaging 2010: 752709 - [c18]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Supervised topic model for automatic image annotation. ICASSP 2010: 1894-1897 - [c17]Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan:
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI 2010: 157-164
2000 – 2009
- 2009
- [j31]Sheye O. Aliu, John F. Houde, Srikantan S. Nagarajan:
Motor-induced Suppression of the Auditory Cortex. J. Cogn. Neurosci. 21(4): 791-802 (2009) - [j30]David P. Wipf, Srikantan S. Nagarajan:
A unified Bayesian framework for MEG/EEG source imaging. NeuroImage 44(3): 947-966 (2009) - [j29]Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. 17(1): 24-37 (2009) - [j28]Tulaya Limpiti, Barry D. Van Veen, Hagai Attias, Srikantan S. Nagarajan:
A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG. IEEE Trans. Biomed. Eng. 56(3): 633-645 (2009) - [j27]Kenneth E. Hild II, Srikantan S. Nagarajan:
Source Localization of EEG/MEG Data by Correlating Columns of ICA and Lead Field Matrices. IEEE Trans. Biomed. Eng. 56(11): 2619-2626 (2009) - [c16]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Independent factor topic models. ICML 2009: 833-840 - [c15]Julia P. Owen, David P. Wipf, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data. ISBI 2009: 1271-1274 - [c14]David P. Wipf, Srikantan S. Nagarajan:
Sparse Estimation Using General Likelihoods and Non-Factorial Priors. NIPS 2009: 2071-2079 - 2008
- [j26]Stephen James Redmond, Conor Heneghan, Kenneth E. Hild II, Srikantan S. Nagarajan:
Denoising of magnetoencephalographic data using spatial averaging. Neurocomputing 72(1-3): 112-118 (2008) - [j25]Adrian G. Guggisberg, Heidi E. Kirsch, Mary M. Mantle, Nicholas M. Barbaro, Srikantan S. Nagarajan:
Fast oscillations associated with interictal spikes localize the epileptogenic zone in patients with partial epilepsy. NeuroImage 39(2): 661-668 (2008) - [j24]Sarang S. Dalal, Adrian G. Guggisberg, Erik Edwards, Kensuke Sekihara, Anne M. Findlay, Ryan T. Canolty, Mitchel S. Berger, Robert T. Knight, Nicholas M. Barbaro, Heidi E. Kirsch, Srikantan S. Nagarajan:
Five-dimensional neuroimaging: Localization of the time-frequency dynamics of cortical activity. NeuroImage 40(4): 1686-1700 (2008) - [j23]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data. NeuroImage 41(3): 924-940 (2008) - [j22]Kensuke Sekihara, Kenneth E. Hild II, Sarang S. Dalal, Srikantan S. Nagarajan:
Performance of Prewhitening Beamforming in MEG Dual Experimental Conditions. IEEE Trans. Biomed. Eng. 55(3): 1112-1121 (2008) - [j21]Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan:
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. IEEE Trans. Neural Networks 19(3): 508-519 (2008) - [c13]David P. Wipf, Julia P. Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. NIPS 2008: 1777-1784 - 2007
- [j20]Ilana S. Hairston, Srikantan S. Nagarajan:
Neural Mechanisms of the Time-order Error: An MEG Study. J. Cogn. Neurosci. 19(7): 1163-1174 (2007) - [j19]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. NeuroImage 37(1): 102-115 (2007) - [j18]Kenneth E. Hild II, Hagai Thomas Attias, Silvia Comani, Srikantan S. Nagarajan:
Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm. Signal Process. 87(8): 1993-2004 (2007) - [c12]Duangmanee Putthividhya, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee:
Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. ICASSP (2) 2007: 789-792 - [c11]Kenneth E. Hild II, Srikantan S. Nagarajan:
Source Localization of EEG/MEG Data by Correlating Columns of ICA Solution with Lead Field Matrix. ICASSP (4) 2007: 1177-1180 - [c10]David P. Wipf, Srikantan S. Nagarajan:
Beamforming using the relevance vector machine. ICML 2007: 1023-1030 - [c9]David P. Wipf, Srikantan S. Nagarajan:
A New View of Automatic Relevance Determination. NIPS 2007: 1625-1632 - 2006
- [j17]Srikantan S. Nagarajan, Hagai Thomas Attias, Kenneth E. Hild II, Kensuke Sekihara:
A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity. NeuroImage 30(2): 400-416 (2006) - [j16]Srikantan S. Nagarajan, Oleg Portniaguine, Dosik Hwang, Chris Johnson, Kensuke Sekihara:
Controlled Support MEG imaging. NeuroImage 33(3): 878-885 (2006) - [j15]Sarang S. Dalal, Kensuke Sekihara, Srikantan S. Nagarajan:
Modified beamformers for coherent source region suppression. IEEE Trans. Biomed. Eng. 53(7): 1357-1363 (2006) - [j14]Kensuke Sekihara, Kenneth E. Hild II, Srikantan S. Nagarajan:
A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist. IEEE Trans. Biomed. Eng. 53(9): 1755-1764 (2006) - [c8]Kenneth E. Hild II, Hagai Attias, Srikantan S. Nagarajan:
An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model. ICA 2006: 98-105 - [c7]Srikantan S. Nagarajan, Hagai Attias, Kensuke Sekihara, Kenneth E. Hild II:
Partitioned Factor Analysis for Interference Suppression and Source Extraction. ICA 2006: 189-197 - [c6]Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Two probabilistic algorithms for MEG/EEG source reconstruction. ISBI 2006: 940-943 - [c5]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data. NIPS 2006: 1625-1632 - 2005
- [j13]Kensuke Sekihara, Maneesh Sahani, Srikantan S. Nagarajan:
Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction. NeuroImage 25(4): 1056-1067 (2005) - [j12]Kensuke Sekihara, Maneesh Sahani, Srikantan S. Nagarajan:
A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images. NeuroImage 27(2): 368-376 (2005) - [c4]Srikantan S. Nagarajan, Hagai Attias, Kenneth E. Hild II, Kensuke Sekihara:
Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity. NIPS 2005: 963-970 - 2004
- [j11]Roland G. Henry, Jeffrey I. Berman, Srikantan S. Nagarajan, Pratik Mukherjee, Mitchel S. Berger:
Subcortical pathways serving cortical language sites: initial experience with diffusion tensor imaging fiber tracking combined with intraoperative language mapping. NeuroImage 21(2): 616-622 (2004) - [j10]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Alec Marantz:
Performance of an MEG adaptive-beamformer source reconstruction technique in the presence of additive low-rank interference. IEEE Trans. Biomed. Eng. 51(1): 90-99 (2004) - [j9]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Alec Marantz:
Asymptotic SNR of scalar and vector minimum-variance beamformers for neuromagnetic source reconstruction. IEEE Trans. Biomed. Eng. 51(10): 1726-1734 (2004) - 2003
- [j8]Kai-Hsiung Hsu, Srikantan S. Nagarajan, Dominique M. Durand:
Analysis of efficiency of magnetic stimulation. IEEE Trans. Biomed. Eng. 50(11): 1276-1285 (2003) - [c3]Maneesh Sahani, Srikantan S. Nagarajan:
Reconstructing MEG Sources with Unknown Correlations. NIPS 2003: 693-700 - 2002
- [j7]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Alec Marantz:
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. 49(12): 1534-1546 (2002) - [c2]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Alec Marantz:
Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: correlation-coefficient estimation and time-course retrieval. ISBI 2002: 1019-1022 - 2001
- [j6]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Alec Marantz, Yasushi Miyashita:
Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique. IEEE Trans. Biomed. Eng. 48(7): 760-771 (2001) - [c1]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Yasushi Miyashita:
Reconstructing spatio-temporal activities of neural sources from magnetoencephalographic data using a vector beamformer. ICASSP 2001: 2021-2024 - 2000
- [j5]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Satoru Miyauchi, Norio Fujimaki, Hideaki Koizumi, Yasushi Miyashita:
Estimating neural sources from each time-frequency component of magnetoencephalographic data. IEEE Trans. Biomed. Eng. 47(5): 642-653 (2000)
1990 – 1999
- 1999
- [j4]Kensuke Sekihara, Srikantan S. Nagarajan, David Poeppel, Yasushi Miyashita:
Time-Frequency MEG-MUSIC Algorithm. IEEE Trans. Medical Imaging 18(18): 92-97 (1999) - 1996
- [j3]Srikantan S. Nagarajan, Dominique M. Durand:
A generalized cable equation for magnetic stimulation of axons. IEEE Trans. Biomed. Eng. 43(3): 304-312 (1996) - 1995
- [j2]