Behtash Babadi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 50

Top Topics

Response Function

Spectral Analysis

Weighted Least Squares

Top Venues

IEEE Trans. Signal Process.

IEEE Trans. Biomed. Eng.

Publications

Shoutik Mukherjee, Peter Jendrichovksy, Patrick O. Kanold, Behtash Babadi
Reinforcement Learning-Guided Optogenetic Stimulation Policies for Robust Functional Network Discovery. ICASSP (2024)
Proloy Das, Behtash Babadi
Non-Asymptotic Guarantees for Reliable Identification of Granger Causality via the LASSO. IEEE Trans. Inf. Theory 69 (11) (2023)
Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. Brain Informatics 10 (1) (2023)
Ruwanthi Abeysekara, Christopher J. Smalt, I. M. Dushyanthi Karunathilake, Jonathan Z. Simon, Behtash Babadi
Information-Theoretic Limits on the Performance of Auditory Attention Decoders. ACSSC (2023)
Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. BI (2023)
Sahar Khosravi, Anuththara Rupasinghe, Behtash Babadi
Granger Causal Inference from Spiking Observations via Latent Variable Modeling. IEEECONF (2022)
Behrad Soleimani, Proloy Das, I. M. Dushyanthi Karunathilake, Stefanie E. Kuchinsky, Jonathan Z. Simon, Behtash Babadi
NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis. NeuroImage 260 (2022)
Shoutik Mukherjee, Behtash Babadi
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit. NeurIPS (2021)
Proloy Das, Behtash Babadi
Non-Asymptotic Guarantees for Robust Identification of Granger Causality via the LASSO. CoRR (2021)
Proloy Das, Behtash Babadi
Multitaper spectral analysis of neuronal spiking activity driven by latent stationary processes. Signal Process. 170 (2020)
Proloy Das, Christian Brodbeck, Jonathan Z. Simon, Behtash Babadi
Neuro-current response functions: A unified approach to MEG source analysis under the continuous stimuli paradigm. NeuroImage 211 (2020)
Anuththara Rupasinghe, Behtash Babadi
Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations. CISS (2020)
Sina Miran, Alessandro Presacco, Jonathan Z. Simon, Michael C. Fu, Steven I. Marcus, Behtash Babadi
Dynamic estimation of auditory temporal response functions via state-space models with Gaussian mixture process noise. PLoS Comput. Biol. 16 (8) (2020)
Behrad Soleimani, Proloy Das, Joshua Kulasingham, Jonathan Z. Simon, Behtash Babadi
Granger Causal Inference from Indirect Low-Dimensional Measurements with Application to MEG Functional Connectivity Analysis. CISS (2020)
Anuththara Rupasinghe, Behtash Babadi
Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations. IEEE Trans. Signal Process. 68 (2020)
Anuththara Rupasinghe, Shoutik Mukherjee, Behtash Babadi
Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data. ACSSC (2020)
Shoutik Mukherjee, Behtash Babadi
A Statistical Approach to Dynamic Synchrony Analysis of Neuronal Ensemble Spiking. ACSSC (2019)
Sina Miran, Jonathan Z. Simon, Michael C. Fu, Steven I. Marcus, Behtash Babadi
Estimation of State-Space Models with Gaussian Mixture Process Noise. DSW (2019)
Anuththara Rupasinghe, Behtash Babadi
Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations. DSW (2019)
Alessandro Presacco, Sina Miran, Behtash Babadi, Jonathan Z. Simon
Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task. EMBC (2019)
Anuththara Rupasinghe, Behtash Babadi
Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations. CoRR (2019)
Proloy Das, Behtash Babadi
Multitaper Spectral Analysis of Neuronal Spiking Activity Driven by Latent Stationary Processes. CoRR (2019)
Abbas Kazemipour, Ji Liu, Krystyna Solarana, Daniel A. Nagode, Patrick O. Kanold, Min Wu, Behtash Babadi
Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE Trans. Biomed. Eng. 65 (1) (2018)
Proloy Das, Christian Brodbeck, Jonathan Z. Simon, Behtash Babadi
Cortical Localization of the Auditory Temporal Response Function from MEG via Non-convex Optimization. ACSSC (2018)
Proloy Das, Behtash Babadi
Dynamic Bayesian Multitaper Spectral Analysis. IEEE Trans. Signal Process. 66 (6) (2018)
Elvira Pirondini, Behtash Babadi, Gabriel Obregon-Henao, Camilo Lamus, Wasim Q. Malik, Matti S. Hämäläinen, Patrick L. Purdon
Computationally Efficient Algorithms for Sparse, Dynamic Solutions to the EEG Source Localization Problem. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Sina Miran, Sahar Akram, Alireza Sheikhattar, Jonathan Z. Simon, Tao Zhang, Behtash Babadi
Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering. EMBC (2018)
Sina Miran, Patrick L. Purdon, Emery N. Brown, Behtash Babadi
Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data. IEEE Trans. Biomed. Eng. 64 (10) (2017)
Alireza Sheikhattar, Siamak K. Sorooshyari, Behtash Babadi
An autoregressive approach to inference in populations of correlated stochastic neurons. ACSSC (2017)
Abbas Kazemipour, Behtash Babadi, Min Wu, Kaspar Podgorski, Shaul Druckmann
Multiplicative updates for optimization problems with dynamics. ACSSC (2017)
Sahar Akram, Jonathan Z. Simon, Behtash Babadi
Dynamic Estimation of the Auditory Temporal Response Function From MEG in Competing-Speaker Environments. IEEE Trans. Biomed. Eng. 64 (8) (2017)
Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu
Sampling Requirements for Stable Autoregressive Estimation. IEEE Trans. Signal Process. 65 (9) (2017)
Pavitra Krishnaswamy, Gabriel Obregon-Henao, Sheraz Khan, Behtash Babadi, Eugenio Iglesias, Matti S. Hämäläinen, Patrick L. Purdon
Sparse Representation Learning Approach Resolves Deep Sources Underlying MEG and EEG Data. AAAI Spring Symposia (2017)
Sina Miran, Patrick L. Purdon, Emery N. Brown, Behtash Babadi
Sparse spectral estimation from point process observations. ICASSP (2017)
Proloy Das, Behtash Babadi
Dynamic Bayesian Multitaper Spectral Analysis. CoRR (2017)
Abbas Kazemipour, Min Wu, Behtash Babadi
Robust Estimation of Self-Exciting Generalized Linear Models With Application to Neuronal Modeling. IEEE Trans. Signal Process. 65 (14) (2017)
Rémy Boyer, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
Corrections to "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling". IEEE Trans. Signal Process. 65 (18) (2017)
Alireza Sheikhattar, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi
Recursive Sparse Point Process Regression With Application to Spectrotemporal Receptive Field Plasticity Analysis. IEEE Trans. Signal Process. 64 (8) (2016)
Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi
Efficient estimation of compressible state-space models with application to calcium signal deconvolution. GlobalSIP (2016)
Abbas Kazemipour, Behtash Babadi, Min Wu
Sufficient conditions for stable recovery of sparse autoregressive models. CISS (2016)
Alireza Sheikhattar, Sina Miran, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi
Probing the functional circuitry underlying auditory attention via dynamic granger causality analysis. ACSSC (2016)
Alireza Sheikhattar, Behtash Babadi
Real-time Algorithms for Sparse Neuronal System Identification. EMBC (2016)
Alireza Sheikhattar, Behtash Babadi
Dynamic estimation of causal influences in sparsely-interacting neuronal ensembles. CISS (2016)
Sahar Akram, Alessandro Presacco, Jonathan Z. Simon, Shihab A. Shamma, Behtash Babadi
Robust decoding of selective auditory attention from MEG in a competing-speaker environment via state-space modeling. NeuroImage 124 (2016)
Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu
Sampling Requirements for Stable Autoregressive Estimation. CoRR (2016)
Abbas Kazemipour, Ji Liu, Patrick O. Kanold, Min Wu, Behtash Babadi
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution. CoRR (2016)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
Comment on "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling". CoRR (2015)
Abbas Kazemipour, Min Wu, Behtash Babadi
Robust Estimation of Self-Exciting Point Process Models with Application to Neuronal Modeling. CoRR (2015)
Alireza Sheikhattar, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi
Adaptive sparse logistic regression with application to neuronal plasticity analysis. ACSSC (2015)
Alireza Sheikhattar, Jonathan B. Fritz, Shihab A. Shamma, Behtash Babadi
Recursive Sparse Point Process Regression with Application to Spectrotemporal Receptive Field Plasticity Analysis. CoRR (2015)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Neural spike train denoising by point process re-weighted iterative smoothing. ACSSC (2014)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms. IEEE Trans. Signal Process. 62 (1) (2014)
Sahar Akram, Jonathan Z. Simon, Shihab A. Shamma, Behtash Babadi
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment. NIPS (2014)
Behtash Babadi, Emery N. Brown
A Review of Multitaper Spectral Analysis. IEEE Trans. Biomed. Eng. 61 (5) (2014)
Behtash Babadi, Gabriel Obregon-Henao, Camilo Lamus, Matti S. Hämäläinen, Emery N. Brown, Patrick L. Purdon
A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem. NeuroImage 87 (2014)
Abbas Kazemipour, Behtash Babadi, Min Wu
Sparse estimation of self-exciting point processes with application to LGN neural modeling. GlobalSIP (2014)
Behtash Babadi, Vahid Tarokh
Spectral Distribution of Product of Pseudorandom Matrices Formed From Binary Block Codes. IEEE Trans. Inf. Theory 59 (2) (2013)
Elvira Pirondini, Behtash Babadi, Camilo Lamus, Emery N. Brown, Patrick L. Purdon
A spatially-regularized dynamic source localization algorithm for EEG. EMBC (2012)
Behtash Babadi, Vahid Tarokh
Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario. IEICE Trans. Commun. (4) (2012)
Behtash Babadi, Scott M. McKinney, Vahid Tarokh, Jeffrey M. Ellenbogen
DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection. IEEE Trans. Biomed. Eng. 59 (2) (2012)
Gabriel Obregon-Henao, Behtash Babadi, Camilo Lamus, Emery N. Brown, Patrick L. Purdon
A fast iterative greedy algorithm for MEG source localization. EMBC (2012)
Behtash Babadi, Vahid Tarokh
Vertical spectrum sharing via distributed asynchronous interference avoidance in cognitive radio networks. CCNC (2012)
Demba E. Ba, Behtash Babadi, Patrick L. Purdon, Emery N. Brown
Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization. NIPS (2012)
Aaron L. Sampson, Behtash Babadi, Michael J. Prerau, Eran A. Mukamel, Emery N. Brown, Patrick L. Purdon
Beamforming approach to phase-amplitude modulation analysis of multi-channel EEG. EMBC (2012)
Behtash Babadi, Vahid Tarokh
Spectral distribution of the product of two random matrices based on binary block codes. Allerton (2011)
Behtash Babadi, Vahid Tarokh
Spectral Distribution of Random Matrices From Binary Linear Block Codes. IEEE Trans. Inf. Theory 57 (6) (2011)
Behtash Babadi, Vahid Tarokh
Regularized recursive least squares for anomaly detection in sparse channel tracking applications. RACS (2011)
Gerasimos Mileounis, Nicholas Kalouptsidis, Behtash Babadi, Vahid Tarokh
Blind identification of sparse channels and symbol detection via the EM algorithm. DSP (2011)
Nicholas Kalouptsidis, Gerasimos Mileounis, Behtash Babadi, Vahid Tarokh
Adaptive algorithms for sparse system identification. Signal Process. 91 (8) (2011)
Gerasimos Mileounis, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
An Adaptive Greedy Algorithm with Application to Sparse Narma Identification. ICASSP (2010)
Behtash Babadi, Vahid Tarokh
Random frames from binary linear block codes. CISS (2010)
Behtash Babadi, Vahid Tarokh
GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm. IEEE Trans. Inf. Theory 56 (12) (2010)
Gerasimos Mileounis, Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
An adaptive greedy algorithm with application to nonlinear communications. IEEE Trans. Signal Process. 58 (6) (2010)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
SPARLS: the sparse RLS algorithm. IEEE Trans. Signal Process. 58 (8) (2010)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
Asymptotic Achievability of the CramÉr-Rao Bound for Noisy Compressive Sampling. IEEE Trans. Signal Process. 57 (3) (2009)
Behtash Babadi, Nicholas Kalouptsidis, Vahid Tarokh
SPARLS: A Low Complexity Recursive $\mathcal{L}_1$-Regularized Least Squares Algorithm CoRR (2009)
Behtash Babadi, Vahid Tarokh
A distributed asynchronous algorithm for spectrum sharing in wireless ad hoc networks. CISS (2008)
Behtash Babadi, Vahid Tarokh
A Distributed Dynamic Frequency Allocation Algorithm For Ad Hoc Networks CoRR (2007)