A Distributed Dynamic Frequency Allocation Algorithm For Ad Hoc Networks - Behtash Babadi; Vahid Tarokh (CoRR, 2007)

A distributed asynchronous algorithm for spectrum sharing in wireless ad hoc networks. - Behtash Babadi; Vahid Tarokh (CISS, 2008)

SPARLS: A Low Complexity Recursive $ mathcal{L}_1$-Regularized Least Squares Algorithm - Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (CoRR, 2009)

Asymptotic Achievability of the CramÉr-Rao Bound for Noisy Compressive Sampling. - Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (IEEE Trans. Signal Process., 2009)

Random frames from binary linear block codes. - Behtash Babadi; Vahid Tarokh (CISS, 2010)

An Adaptive Greedy Algorithm with Application to Sparse Narma Identification. - Gerasimos Mileounis; Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (ICASSP, 2010)

GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm. - Behtash Babadi; Vahid Tarokh (IEEE Trans. Inf. Theory, 2010)

SPARLS: the sparse RLS algorithm. - Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (IEEE Trans. Signal Process., 2010)

An adaptive greedy algorithm with application to nonlinear communications. - Gerasimos Mileounis; Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (IEEE Trans. Signal Process., 2010)

Spectral distribution of the product of two random matrices based on binary block codes. - Behtash Babadi; Vahid Tarokh (Allerton, 2011)

Blind identification of sparse channels and symbol detection via the EM algorithm. - Gerasimos Mileounis; Nicholas Kalouptsidis; Behtash Babadi; Vahid Tarokh (DSP, 2011)

Regularized recursive least squares for anomaly detection in sparse channel tracking applications. - Behtash Babadi; Vahid Tarokh (RACS, 2011)

Adaptive algorithms for sparse system identification. - Nicholas Kalouptsidis; Gerasimos Mileounis; Behtash Babadi; Vahid Tarokh (Signal Process., 2011)

Spectral Distribution of Random Matrices From Binary Linear Block Codes. - Behtash Babadi; Vahid Tarokh (IEEE Trans. Inf. Theory, 2011)

Vertical spectrum sharing via distributed asynchronous interference avoidance in cognitive radio networks. - Behtash Babadi; Vahid Tarokh (CCNC, 2012)

A fast iterative greedy algorithm for MEG source localization. - Gabriel Obregon-Henao; Behtash Babadi; Camilo Lamus; Emery N. Brown; Patrick L. Purdon (EMBC, 2012)

A spatially-regularized dynamic source localization algorithm for EEG. - Elvira Pirondini; Behtash Babadi; Camilo Lamus; Emery N. Brown; Patrick L. Purdon (EMBC, 2012)

Beamforming approach to phase-amplitude modulation analysis of multi-channel EEG. - Aaron L. Sampson; Behtash Babadi; Michael J. Prerau; Eran A. Mukamel; Emery N. Brown; Patrick L. Purdon (EMBC, 2012)

Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization. - Demba E. Ba; Behtash Babadi; Patrick L. Purdon; Emery N. Brown (NIPS, 2012)

Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario. - Behtash Babadi; Vahid Tarokh (IEICE Trans. Commun., 2012)

DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection. - Behtash Babadi; Scott M. McKinney; Vahid Tarokh; Jeffrey M. Ellenbogen (IEEE Trans. Biomed. Eng., 2012)

Spectral Distribution of Product of Pseudorandom Matrices Formed From Binary Block Codes. - Behtash Babadi; Vahid Tarokh (IEEE Trans. Inf. Theory, 2013)

Neural spike train denoising by point process re-weighted iterative smoothing. - Demba E. Ba; Behtash Babadi; Patrick L. Purdon; Emery N. Brown (ACSSC, 2014)

Sparse estimation of self-exciting point processes with application to LGN neural modeling. - Abbas Kazemipour; Behtash Babadi; Min Wu 001 (GlobalSIP, 2014)

A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment. - Sahar Akram; Jonathan Z. Simon; Shihab A. Shamma; Behtash Babadi (NIPS, 2014)

A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem. - Behtash Babadi; Gabriel Obregon-Henao; Camilo Lamus; Matti S. Hämäläinen; Emery N. Brown; Patrick L. Purdon (NeuroImage, 2014)

A Review of Multitaper Spectral Analysis. - Behtash Babadi; Emery N. Brown (IEEE Trans. Biomed. Eng., 2014)

Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms. - Demba E. Ba; Behtash Babadi; Patrick L. Purdon; Emery N. Brown (IEEE Trans. Signal Process., 2014)

Adaptive sparse logistic regression with application to neuronal plasticity analysis. - Alireza Sheikhattar; Jonathan B. Fritz; Shihab A. Shamma; Behtash Babadi (ACSSC, 2015)

Comment on "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling". - Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (CoRR, 2015)

Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling. - Abbas Kazemipour; Min Wu 001; Behtash Babadi (CoRR, 2015)

Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis. - Alireza Sheikhattar; Sina Miran; Jonathan B. Fritz; Shihab A. Shamma; Behtash Babadi (ACSSC, 2016)

Sufficient conditions for stable recovery of sparse autoregressive models. - Abbas Kazemipour; Behtash Babadi; Min Wu 001 (CISS, 2016)

Dynamic estimation of causal influences in sparsely-interacting neuronal ensembles. - Alireza Sheikhattar; Behtash Babadi (CISS, 2016)

Real-time Algorithms for Sparse Neuronal System Identification. - Alireza Sheikhattar; Behtash Babadi (EMBC, 2016)

Efficient estimation of compressible state-space models with application to calcium signal deconvolution. - Abbas Kazemipour; Ji Liu; Patrick O. Kanold; Min Wu 001; Behtash Babadi (GlobalSIP, 2016)

Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling. - Sahar Akram; Alessandro Presacco; Jonathan Z. Simon; Shihab A. Shamma; Behtash Babadi (NeuroImage, 2016)

Recursive Sparse Point Process Regression With Application to Spectrotemporal Receptive Field Plasticity Analysis. - Alireza Sheikhattar; Jonathan B. Fritz; Shihab A. Shamma; Behtash Babadi (IEEE Trans. Signal Process., 2016)

Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. - Pavitra Krishnaswamy; Gabriel Obregon-Henao; Sheraz Khan 002; Behtash Babadi; Eugenio Iglesias; Matti S. Hämäläinen; Patrick L. Purdon (AAAI Spring Symposia, 2017)

Multiplicative updates for optimization problems with dynamics. - Abbas Kazemipour; Behtash Babadi; Min Wu 001; Kaspar Podgorski; Shaul Druckmann (ACSSC, 2017)

An autoregressive approach to inference in populations of correlated stochastic neurons. - Alireza Sheikhattar; Siamak K. Sorooshyari; Behtash Babadi (ACSSC, 2017)

Sparse spectral estimation from point process observations. - Sina Miran; Patrick L. Purdon; Emery N. Brown; Behtash Babadi (ICASSP, 2017)

Dynamic Estimation of the Auditory Temporal Response Function From MEG in Competing-Speaker Environments. - Sahar Akram; Jonathan Z. Simon; Behtash Babadi (IEEE Trans. Biomed. Eng., 2017)

Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data. - Sina Miran; Patrick L. Purdon; Emery N. Brown; Behtash Babadi (IEEE Trans. Biomed. Eng., 2017)

Corrections to "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling". - Rémy Boyer; Behtash Babadi; Nicholas Kalouptsidis; Vahid Tarokh (IEEE Trans. Signal Process., 2017)

Sampling Requirements for Stable Autoregressive Estimation. - Abbas Kazemipour; Sina Miran; Piya Pal; Behtash Babadi; Min Wu 001 (IEEE Trans. Signal Process., 2017)

Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling. - Abbas Kazemipour; Min Wu 001; Behtash Babadi (IEEE Trans. Signal Process., 2017)

Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization. - Proloy Das; Christian Brodbeck; Jonathan Z. Simon; Behtash Babadi (ACSSC, 2018)

Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering. - Sina Miran; Sahar Akram; Alireza Sheikhattar; Jonathan Z. Simon; Tao Zhang; Behtash Babadi (EMBC, 2018)

Fast and Stable Signal Deconvolution via Compressible State-Space Models. - Abbas Kazemipour; Ji Liu; Krystyna Solarana; Daniel A. Nagode; Patrick O. Kanold; Min Wu 001; Behtash Babadi (IEEE Trans. Biomed. Eng., 2018)

Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem. - Elvira Pirondini; Behtash Babadi; Gabriel Obregon-Henao; Camilo Lamus; Wasim Q. Malik; Matti S. Hämäläinen; Patrick L. Purdon (IEEE Trans. Biomed. Eng., 2018)

Dynamic Bayesian Multitaper Spectral Analysis. - Proloy Das; Behtash Babadi (IEEE Trans. Signal Process., 2018)

A Statistical Approach to Dynamic Synchrony Analysis of Neuronal Ensemble Spiking. - Shoutik Mukherjee; Behtash Babadi (ACSSC, 2019)

Estimation of State-Space Models with Gaussian Mixture Process Noise. - Sina Miran; Jonathan Z. Simon; Michael C. Fu 001; Steven I. Marcus; Behtash Babadi (DSW, 2019)

Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations. - Anuththara Rupasinghe; Behtash Babadi (DSW, 2019)

Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task. - Alessandro Presacco; Sina Miran; Behtash Babadi; Jonathan Z. Simon (EMBC, 2019)

Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations. - Anuththara Rupasinghe; Behtash Babadi (CoRR, 2019)

Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data. - Anuththara Rupasinghe; Shoutik Mukherjee; Behtash Babadi (ACSSC, 2020)

Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations. - Anuththara Rupasinghe; Behtash Babadi (CISS, 2020)

Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis. - Behrad Soleimani; Proloy Das; Joshua Kulasingham; Jonathan Z. Simon; Behtash Babadi (CISS, 2020)

Neuro-current response functions: A unified approach to MEG source analysis under the continuous stimuli paradigm. - Proloy Das; Christian Brodbeck; Jonathan Z. Simon; Behtash Babadi (NeuroImage, 2020)

Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise. - Sina Miran; Alessandro Presacco; Jonathan Z. Simon; Michael C. Fu 001; Steven I. Marcus; Behtash Babadi (PLoS Comput. Biol., 2020)

Multitaper spectral analysis of neuronal spiking activity driven by latent stationary processes. - Proloy Das; Behtash Babadi (Signal Process., 2020)

Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations. - Anuththara Rupasinghe; Behtash Babadi (IEEE Trans. Signal Process., 2020)

Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit. - Shoutik Mukherjee; Behtash Babadi (NeurIPS, 2021)

Non-Asymptotic Guarantees for Robust Identification of Granger Causality via the LASSO. - Proloy Das; Behtash Babadi (CoRR, 2021)

Granger Causal Inference from Spiking Observations via Latent Variable Modeling. - Sahar Khosravi; Anuththara Rupasinghe; Behtash Babadi (IEEECONF, 2022)

NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis. - Behrad Soleimani; Proloy Das; I. M. Dushyanthi Karunathilake; Stefanie E. Kuchinsky; Jonathan Z. Simon; Behtash Babadi (NeuroImage, 2022)

Information-Theoretic Limits on the Performance of Auditory Attention Decoders. - Ruwanthi Abeysekara; Christopher J. Smalt; I. M. Dushyanthi Karunathilake; Jonathan Z. Simon; Behtash Babadi (ACSSC, 2023)

Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. - Loren Koçillari; Marco Celotto; Nikolas A. Francis; Shoutik Mukherjee; Behtash Babadi; Patrick O. Kanold; Stefano Panzeri (BI, 2023)

Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO. - Proloy Das; Behtash Babadi (IEEE Trans. Inf. Theory, 2023)

Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. - Loren Koçillari; Marco Celotto; Nikolas A. Francis; Shoutik Mukherjee; Behtash Babadi; Patrick O. Kanold; Stefano Panzeri (Brain Informatics, 2023)

Variational Covariance Smoothing for Dynamic Functional Connectivity Analysis. - Ruwanthi Abeysekara; Jonathan Z. Simon; Behtash Babadi (IEEECONF, 2024)

An Instrumental Variable Approach to Functional Network Discovery from Optogenetic Experiments. - S. Pardis Hajiseyedrazi; Behtash Babadi (IEEECONF, 2024)

Reinforcement Learning-Guided Optogenetic Stimulation Policies for Robust Functional Network Discovery. - Shoutik Mukherjee; Peter Jendrichovksy; Patrick O. Kanold; Behtash Babadi (ICASSP, 2024)

Adaptive modeling and inference of higher-order coordination in neuronal assemblies: A dynamic greedy estimation approach. - Shoutik Mukherjee; Behtash Babadi (PLoS Comput. Biol., 2024)

Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields. - Shoutik Mukherjee; Behtash Babadi; Shihab A. Shamma (PLoS Comput. Biol., 2025)