## Behtash Babadi## LegendJ: ## 2019[S2] P. Das, C. Brodbeck, J. Z. Simon, and B. Babadi, Neuro-Current Response Functions: A Unified Approach to MEG Source Analysis under the Continuous Stimuli Paradigm, [S1] A. Rupasinghe and B. Babadi, Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations, [J29] J. Liu, M. R. Whiteway, A. Sheikhattar, D. A. Butts, B. Babadi, and P. O. Kanold, Parallel Processing of Sound Dynamics across Mouse Auditory Cortex via Spatially Patterned Thalamic Inputs and Distinct Areal Intracortical Circuits, [C36] S. Mukherjee and B. Babadi, A Statistical Approach to Dynamic Synchrony Analysis of Neuronal Ensemble Spiking, [C35] A. Presacco, S. Miran, B. Babadi, and J. Z. Simon, Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task, [C34] A. Rupasinghe and B. Babadi, Multitaper Analysis of Evolutionary Spectral Density Matrix from Multivariate Spiking Observations, [C33] S. Miran, J. Z. Simon, M. C. Fu, S. I. Marcus, and B. Babadi, Estimation of State-Space Models with Gaussian Mixture Process Noise, [A8] S. Mukherjee, K. M. O'Neill, B. L. Firestein, W. Losert, and B. Babadi, A Statistical Approach to the Dynamic Analysis of Synchronous Spiking in Neuronal Ensembles, ## 2018[J28] E. Pirondini, B. Babadi, G. Obregon-Henao, C. Lamus, W. Q. Malik, M. S. Hämäläinen, and P. L. Purdon, Computationally-efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem, [J27] S. Miran, S. Akram, A. Sheikhattar, J. Z. Simon, T. Zhang, and B. Babadi, Real-Time Tracking of Selective Auditory Attention from M/EEG: A Bayesian Filtering Approach, [J26] A. Sheikhattar, S. Miran, J. Liu, J. B. Fritz, S. A. Shamma, P. O. Kanold, and B. Babadi, Extracting Neuronal Functional Network Dynamics via Adaptive Granger Causality Analysis, [J25] P. Das and B. Babadi, Dynamic Bayesian Multitaper Spectral Analysis, [J24] N. A. Francis, D. E. Winkowski, A. Sheikhattar, K. Armengol, B. Babadi, and P. O. Kanold, Small Networks Encode Decision-Making in Primary Auditory Cortex, [J23] P. Krishnaswamy, G. Obregon-Henao, J. Ahveninen, S. Khan, B. Babadi, J. Eugenio Iglesias, M. S. Hämäläinen, and P. L. Purdon, Sparsity Enables Estimation of both Subcortical and Cortical Activity from MEG and EEG, [J22] A. Kazemipour, J. Liu, K. Solarana, D. A. Nagode, P. O. Kanold, M. Wu, and B. Babadi, Fast and Stable Signal Deconvolution via Compressible State-Space Models, [C32] P. Das, C. Brodbeck, J. Z. Simon, and B. Babadi, Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization, [C31] S. Miran, S. Akram, A. Sheikhattar, J. Z. Simon, T. Zhang, and B. Babadi, Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering, [B2] B. Babadi, Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems, ## 2017[J21] S. Miran, P. L. Purdon, E. N. Brown, and B. Babadi, Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data, [J20] S. Akram, J. Z. Simon, and B. Babadi, Dynamic Estimation of the Auditory Temporal Response Function from MEG in Competing-Speaker Environments, [J19] A. Kazemipour, M. Wu, and B. Babadi, Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal Modeling, [J18] A. Kazemipour, S. Miran, P. Pal, B. Babadi, and M. Wu, Sampling Requirements for Stable Autoregressive Estimation, [J17] C.-C. Chou, C. Gadisetti, T. Shin, N. Devasahayam, A. McMillan, B. Babadi, R. Gullapalli, M. Cherukuri, and J. Zhuo, Accelerated Electron Paramagnetic Resonance Imaging Using Partial Fourier Compressed Sensing Reconstruction, [C30] P. Das and B. Babadi, A Bayesian Multitaper Method for Nonstationary Data with Application to EEG Analysis, [C29] A. Sheikhattar, S. K. Sorooshyari, B. Babadi, An Autoregressive Approach to Inference in Populations of Correlated Stochastic Neurons, [C28] A. Kazemipour, B. Babadi, M. Wu, K. Podgorski, S. Druckmann, Multiplicative Updates for Optimization Problems with Dynamics, [C27] S. Miran, P. L. Purdon, E. N. Brown, and B. Babadi, Sparse Spectral Estimation from Point Process Observations, [A7] S. Miran, S. Akram, J. Z. Simon, T. Zhang, and B. Babadi, Real-time Tracking of the Selective Auditory Attention from M/EEG via Bayesian Filtering, [A6] A. Sheikhattar, S. Miran, J. Liu, J. B. Fritz, S. A. Shamma, P. O. Kanold, and B. Babadi, Adaptive Granger Causality Analysis Reveals Functional Network Dynamics Underlying Attentive Behavior at Neuronal Scale, [A5] N. A. Francis, D. E. Winkowski, Z. Bowen, A. Sheikhattar, K. Armengol, B. Babadi, D. Plenz, and P. O. Kanold, Neural Correlates of Decision-Making in Primary Auditory Cortex Neuronal Populations, ## 2016[J16] A. Sheikhattar, J. B. Fritz, S. A. Shamma, and B. Babadi, Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis, [J15] S. Akram, A. Presacco, J. Z. Simon, S. A. Shamma, and B. Babadi, Robust Decoding of Selective Auditory Attention from MEG in a Competing-Speaker Environment via State-Space Modeling, [C26] A. Kazemipour, J. Liu, P. Kanold, M. Wu, and B. Babadi, Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution, [C25] A. Sheikhattar, S. Miran, J. B. Fritz, S. A. Shamma, and B. Babadi, Probing the Functional Circuitry Underlying Auditory Attention via Dynamic Granger Causality Analysis, [C24] A. Sheikhattar and B. Babadi, Real-time Algorithms for Sparse Neuronal System Identification, [C23] A. Sheikhattar and B. Babadi, Dynamic Estimation of Causal Influences in Sparsely-Interacting Neuronal Ensembles, [C22] A. Kazemipour, B. Babadi, and M. Wu, Sufficient Conditions for Stable Recovery of Sparse Autoregressive Models, ## 2015[C21] A. Sheikhattar, J. B. Fritz, S. A. Shamma, and B. Babadi, Adaptive Sparse Logistic Regression with Application to Neuronal Plasticity Analysis, [A4] S. Akram, J. Z. Simon, B. Babadi, Dynamic Estimation of Auditory Temporal Response Function from MEG with Confidence Intervals, [A3] A. Sheikhattar, J. B. Fritz, S. A. Shamma, and B. Babadi, Adaptive Estimation of Sparse Point Process Models Enhances Resolution of
Spectrotemporal Receptive Field Plasticity Analysis, ## 2014[J14] D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Robust Spectrotemporal Decomposition by Iteratively Re-weighted Least Squares, [J13] B. Babadi and E. N. Brown, A Review of Multitaper Spectral Analysis, [J12] E A. Mukamel, E. Pirondini, B. Babadi, K. F. K. Wong, E. T. Pierce, P. Grace Harrell, J. L. Walsh, A. F. Salazar-Gomez, S. S. Cash, E. N. Eskandar, V. S. Weiner, E. N. Brown, and P. L. Purdon, A Transition in Brain State During Propofol-Induced Unconsciousness, [J11] B. Babadi†, G. Obregon-Henao†, C. Lamus, M. S. Hämäläinen, E. N. Brown, and P. L. Purdon, A Subspace Pursuit-based Iterative Greedy Hierarchical Solution to the Neuromagnetic Inverse Problem, [J10] D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms, [C20] S. Akram, J. Z. Simon, S. A. Shamma, and B. Babadi, A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment, [C19] A. Kazemipour, B. Babadi, and M. Wu, Sparse Estimation of Self-Exciting Point Processes with Application to LGN Neural Modeling, ## 2013[J9] B. Babadi and V. Tarokh, Spectral Distribution of Product of Pseudo-Random Matrices Formed From Binary Block Codes, ## 2012[J8] B. Babadi and V. Tarokh, Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario, [J7] B. Babadi†, S. M. McKinney†, V. Tarokh, and J. M. Ellenbogen, DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection, [B1] B. Babadi, D. Bein, B. Madan, S. Phoha, V. Tarokh, and Y. Wen, Improving Target Localization and Tracking by Dynamically Prioritized Frequency Band Allocation for Wireless Sensor Networks in Urban Environments, [C18] D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential l1-Minimization, [C17] A. Sampson, B. Babadi, M. J. Prerau, E. A. Mukamel, E. N. Brown, and P. L. Purdon, A Beamforming Approach to Phase-Amplitude Modulation Analysis of Multi-Channel EEG, [C16] G. Obregon-Henao, B. Babadi, E. N. Brown, and P. L. Purdon, A Fast Iterative Greedy Algorithm for MEG Source Localization, [C15] E. Pirondini, B. Babadi, C. Lamus, E. N. Brown, and P. L. Purdon, A Spatially-Regularized Dynamic Source Localization Algorithm for EEG, [C14] B. Babadi and V. Tarokh, Vertical Spectrum Sharing via Distributed Asynchronous Interference Avoidance in Cognitive Radio Networks, [A2] E. Pirondini, B. Babadi, C. Lamus, M. Hämäläinen, E.N. Brown, and P. Purdon, Sparse
Priors and Empirically-Tailored Basis Sets for EEG Source Localization, [A1] B. Babadi, S. M. McKinney, V. Tarokh, and J. M. Ellenbogen, A Data-Driven Bayesian Algorithm for Sleep Spindle Detection, ## 2011[J6] N. Kalouptsidis, G. Mileounis, B. Babadi, and V. Tarokh, Adaptive Algorithms for Sparse System Identification, [J5] B. Babadi and V. Tarokh, Spectral Distribution of Random Matrices from Binary Linear Block Codes, [C13] B. Babadi and V. Tarokh, Regularized Recursive Least Squares for Anomaly Detection in Sparse Channel Tracking Applications, [C12] B. Babadi and V. Tarokh, Spectral Distribution of the Product of Two Random Matrices Based on Binary Block Codes, [C11] G. Mileounis, N. Kalouptsidis, B. Babadi, and V. Tarokh, Blind Identification of Sparse Channels and Symbol Detection via the EM Algorithm, [C10] B. Babadi, S. Ghassemzadeh and V. Tarokh, Group Randomness Properties of Pseudo- Noise and Gold Sequences, ## 2010[J4] B. Babadi and V. Tarokh, GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm, [J3] B. Babadi, N. Kalouptsidis, and V. Tarokh, SPARLS: The Sparse RLS Algorithm, [J2] G. Mileounis, B. Babadi, N. Kalouptsidis, and V. Tarokh, An Adaptive Greedy Algorithm with Application to Nonlinear Communications, [C9] B. Babadi and V. Tarokh, Random Frames From Binary Linear Block Codes, ## 2009[J1] B. Babadi, N. Kalouptsidis, and V. Tarokh, Asymptotic Achievability of The Cramér–Rao Bound for Noisy Compressive Sampling, [C8] N. Kalouptsidis, G. Mileounis, B. Babadi, and V. Tarokh, Adaptive Algorithms for Sparse Nonlinear Channel Estimation, [C7] B. Babadi, N. Kalouptsidis, and V. Tarokh, Comparison of SPARLS and RLS Algorithms for Adaptive Filtering, ## 2008[C6] B. Babadi and V. Tarokh, The Impact of Spectrum Sensing Time on the Performance of the GADIA Algorithm, [C5] B. Babadi and V. Tarokh, Distributed Dynamic Frequency Allocation in Wireless Networks Under Time-varying User Activities, [C4] B. Babadi and V. Tarokh, Iterative Approach to Base Station Positioning in Cellular Networks, [C3] B. Babadi and V. Tarokh, A Distributed Asynchronous Algorithm for Spectrum Sharing in Wireless Ad Hoc Networks, ## < 2008[C2] B. Babadi, P. Shariatpanahi, and B. H. Khalaj, An Adaptive Feedback Bit Allocation Method for Wireless Systems with Transmit Diversity, [C1] P. Shariatpanahi, B. Babadi, and B. H. Khalaj, Feedback Bit Reduction for Antenna Selection Methods in Wireless Systems, |