Behtash Babadi
Orcid: 0000-0002-9856-006X
According to our database1,
Behtash Babadi
authored at least 72 papers
between 2007 and 2023.
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Bibliography
2023
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex.
Brain Informatics, December, 2023
Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO.
IEEE Trans. Inf. Theory, November, 2023
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex.
Proceedings of the Brain Informatics - 16th International Conference, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis.
NeuroImage, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Non-Asymptotic Guarantees for Robust Identification of Granger Causality via the LASSO.
CoRR, 2021
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations.
IEEE Trans. Signal Process., 2020
Multitaper spectral analysis of neuronal spiking activity driven by latent stationary processes.
Signal Process., 2020
Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise.
PLoS Comput. Biol., 2020
Neuro-current response functions: A unified approach to MEG source analysis under the continuous stimuli paradigm.
NeuroImage, 2020
Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations.
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
CoRR, 2019
Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations.
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem.
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling.
IEEE Trans. Signal Process., 2017
IEEE Trans. Signal Process., 2017
Corrections to "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling".
IEEE Trans. Signal Process., 2017
IEEE Trans. Biomed. Eng., 2017
Dynamic Estimation of the Auditory Temporal Response Function From MEG in Competing-Speaker Environments.
IEEE Trans. Biomed. Eng., 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
An autoregressive approach to inference in populations of correlated stochastic neurons.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Recursive Sparse Point Process Regression With Application to Spectrotemporal Receptive Field Plasticity Analysis.
IEEE Trans. Signal Process., 2016
Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling.
NeuroImage, 2016
Efficient estimation of compressible state-space models with application to calcium signal deconvolution.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling.
CoRR, 2015
Comment on "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling".
CoRR, 2015
Adaptive sparse logistic regression with application to neuronal plasticity analysis.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
IEEE Trans. Signal Process., 2014
A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem.
NeuroImage, 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Sparse estimation of self-exciting point processes with application to LGN neural modeling.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Spectral Distribution of Product of Pseudorandom Matrices Formed From Binary Block Codes.
IEEE Trans. Inf. Theory, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario.
IEICE Trans. Commun., 2012
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Vertical spectrum sharing via distributed asynchronous interference avoidance in cognitive radio networks.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012
2011
IEEE Trans. Inf. Theory, 2011
Regularized recursive least squares for anomaly detection in sparse channel tracking applications.
Proceedings of the Research in Applied Computation Symposium, 2011
Proceedings of the 17th International Conference on Digital Signal Processing, 2011
Spectral distribution of the product of two random matrices based on binary block codes.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
IEEE Trans. Signal Process., 2010
IEEE Trans. Inf. Theory, 2010
An Adaptive Greedy Algorithm with Application to Sparse Narma Identification.
Proceedings of the IEEE International Conference on Acoustics, 2010
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010
2009
IEEE Trans. Signal Process., 2009
SPARLS: A Low Complexity Recursive $\mathcal{L}_1$-Regularized Least Squares Algorithm
CoRR, 2009
2008
A distributed asynchronous algorithm for spectrum sharing in wireless ad hoc networks.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
2007