Behtash Babadi

2019

[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, Cell Reports, Vol. 27, No. 3, pp. 872–885.E7, April 16, 2019.

[C35] A. Presacco, S. Miran, B. Babadi, and J. Z. Simon, Real-Time Tracking of Magnetoencephalographic Neuromarkers during a Dynamic Attention-Switching Task, to appear in the Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’2019), July 23–27, Berlin, Germany.

[C34] A. Rupasinghe and B. Babadi, Multitaper Analysis of Evolutionary Spectral Density Matrix from Multivariate Spiking Observations, to appear in the Proceedings of the 2019 IEEE Data Science Workshop, June 2–5, Minneapolis, MN.

[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, to appear in the Proceedings of the 2019 IEEE Data Science Workshop, June 2–5, Minneapolis, MN.

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, IEEE Trans. on Biomedical Engineering, Vol. 65, Np. 6, June 2018.

[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, Frontiers in Neuroscience, Vol. 12, pp. 262, May 2018 [Code].

[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, Proceedings of the National Academy of Sciences, Vol. 115, No. 17, E3869-E3878, April 2018 [Data] [Code].

[J25] P. Das and B. Babadi, Dynamic Bayesian Multitaper Spectral Analysis, IEEE Trans. on Signal Processing, Vol. 66, No. 6, pp. 1394-1409, March 2018 [Code].

[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, Neuron, Vol. 97, No. 4, Feb. 21, 2018.

[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, Proceedings on the National Academy of Sciences, Vol. 114, No. 48, E10465-E10474, Jan. 2018.

[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, IEEE Trans. on Biomedical Engineering, Vol. 65, No. 1, pp. 74-86, Jan. 2018 [Code].

[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, 2018 Asilomar Conference on Signals, Systems, and Computers, Oct. 28-31, Pacific Grove, CA.

[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, Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’2018), July 17–21, Honolulu, HI.

[B2] B. Babadi, Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems, Book Chapter in Dynamic Neuroscience, Eds. Z. Chen and S. Sarma, Springer International Publishing AG, 2018.

2017

[J21] S. Miran, P. L. Purdon, E. N. Brown, and B. Babadi, Robust Estimation of Sparse Narrowband Spectra from Neuronal Spiking Data, IEEE Trans. on Biomedical Engineering, Vol. 64, No. 10, pp. 2462-2474, Oct. 2017 [Code].

[J20] S. Akram, J. Z. Simon, and B. Babadi, Dynamic Estimation of the Auditory Temporal Response Function from MEG in Competing-Speaker Environments, IEEE Trans. on Biomedical Engineering, Vol. 64, No. 8, pp. 1896-1905, Aug. 2017 [Code].

[J19] A. Kazemipour, M. Wu, and B. Babadi, Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal Modeling, IEEE Trans. on Signal Processing, Vol. 65, No. 14, pp. 3733-3748, July 2017 [Code].

[J18] A. Kazemipour, S. Miran, P. Pal, B. Babadi, and M. Wu, Sampling Requirements for Stable Autoregressive Estimation, IEEE Trans. on Signal Processing, Vol. 65, No. 9, pp. 2333-2347, May 2017.

[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, Magnetic Resonance Imaging, Vol. 37, pp. 90-99, April 2017.

[C30] P. Das and B. Babadi, A Bayesian Multitaper Method for Nonstationary Data with Application to EEG Analysis, 2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB17), Dec. 2, Philadelphia, PA.

[C29] A. Sheikhattar, S. K. Sorooshyari, B. Babadi, An Autoregressive Approach to Inference in Populations of Correlated Stochastic Neurons, 2017 Asilomar Conference on Signals, Systems, and Computers, Oct. 29–Nov. 1, Pacific Grove, CA.

[C28] A. Kazemipour, B. Babadi, M. Wu, K. Podgorski, S. Druckmann, Multiplicative Updates for Optimization Problems with Dynamics, 2017 Asilomar Conference on Signals, Systems, and Computers, Oct. 29–Nov. 1, Pacific Grove, CA.

[C27] S. Miran, P. L. Purdon, E. N. Brown, and B. Babadi, Sparse Spectral Estimation from Point Process Observations, Proceedings of the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2017), March 5–9, New Orleans, LA.

[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, Proceedings of the 47th Annual Neuroscience Meeting (SfN 2017), Nov. 11—15, Washington, DC.

[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, Proceedings of the 47th Annual Neuroscience Meeting (SfN 2017), Nov. 11—15, Washington, DC.

[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, Proceedings of the 47th Annual Neuroscience Meeting (SfN 2017), Nov. 11—15, Washington, DC.

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, IEEE Trans. on Signal Processing, Vol. 64, No. 8, pp. 2026—2039, April 2016.

[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, NeuroImage, Vol. 124, Part A, pp. 906—917, Jan. 2016.

[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, Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, Dec. 7–9, Washington, DC.

[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, 2016 Asilomar Conference on Signals, Systems, and Computers, Nov. 6–9, Pacific Grove, CA (invited).

[C24] A. Sheikhattar and B. Babadi, Real-time Algorithms for Sparse Neuronal System Identification, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Aug. 16–20, Orlando, FL.

[C23] A. Sheikhattar and B. Babadi, Dynamic Estimation of Causal Influences in Sparsely-Interacting Neuronal Ensembles, Proceedings of the 50th Annual Conference on Information Sciences and Systems (CISS 2016), March 16–18, Princeton, NJ (invited).

[C22] A. Kazemipour, B. Babadi, and M. Wu, Sufficient Conditions for Stable Recovery of Sparse Autoregressive Models, Proceedings of the 50th Annual Conference on Information Sciences and Systems (CISS 2016), March 16–18, Princeton, NJ.

2015

[C21] A. Sheikhattar, J. B. Fritz, S. A. Shamma, and B. Babadi, Adaptive Sparse Logistic Regression with Application to Neuronal Plasticity Analysis, 2015 Asilomar Conference on Signals, Systems, and Computers, Nov. 8–11, Pacific Grove, CA (invited).

[A4] S. Akram, J. Z. Simon, B. Babadi, Dynamic Estimation of Auditory Temporal Response Function from MEG with Confidence Intervals, Proceedings of the 45th Annual Neuroscience Meeting (SfN 2015), Oct. 17—21, Chicago, IL.

[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, Proceedings of the 45th Annual Neuroscience Meeting (SfN 2015), Oct. 17—21, Chicago, IL.

2014

[J14] D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Robust Spectrotemporal Decomposition by Iteratively Re-weighted Least Squares, Proceedings of the National Academy of Sciences, Vol. 111, No. 50, E5336–E5345, Dec. 2014.

[J13] B. Babadi and E. N. Brown, A Review of Multitaper Spectral Analysis, IEEE Trans. on Biomedical Engineering, Vol. 61, No. 5, pp. 1555-1564, May 2014.

[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, Journal of Neuroscience, Vol. 34, No. 3, pp. 839-845, Feb. 2014.

[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, NeuroImage, Vol. 87, pp. 427-443, Feb. 2014 († denotes co-first authorship).

[J10] D. Ba, B. Babadi, P. L. Purdon, and E. N. Brown, Convergence and Stability of Iteratively Re-weighted Least Squares Algorithms, IEEE Trans. on Signal Processing, Vol. 62, No. 1, pp. 183-195, Jan. 2014.

[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, 2014 Neural Information Processing Systems (NIPS), Dec. 8–12, 2014, Montréal, QC, Canada.

[C19] A. Kazemipour, B. Babadi, and M. Wu, Sparse Estimation of Self-Exciting Point Processes with Application to LGN Neural Modeling, IEEE Global Conference on Signal and Information Processing (GlobalSIP), Dec. 3–5, 2014, Atlanta, GA.

2013

[J9] B. Babadi and V. Tarokh, Spectral Distribution of Product of Pseudo-Random Matrices Formed From Binary Block Codes, IEEE Trans. on Information Theory, Vol. 59, No. 2, pp.970-978, Feb. 2013.

2012

[J8] B. Babadi and V. Tarokh, Distributed Dynamic Spectrum Allocation for Secondary Users in a Vertical Spectrum Sharing Scenario, IEICE Transactions on Communications (Special Section on Cognitive Radio and Heterogenious Wireless Networks in Conjuction with Main Topics of CrownCom2011), Vol. E95-B, No. 4, pp. 1044-1055, April 2012.

[J7] B. Babadi†, S. M. McKinney†, V. Tarokh, and J. M. Ellenbogen, DiBa: A Data-Driven Bayesian Algorithm for Sleep Spindle Detection, IEEE Transactions on Biomedical Engineering, Vol. 59, No. 2, pp. 483–493, Feb. 2012 († denotes co-first authorship).

[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, Book Chapter in Distributed Sensor Networks, 2nd Ed., Taylor and Francis, LLC, Sep. 2012.

[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, 2012 Neural Information Processing Systems (NIPS) Conference, Dec. 3–7, Lake Tahoe, NV.

[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, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC), Aug. 28–Sep. 1, San Diego, CA.

[C16] G. Obregon-Henao, B. Babadi, E. N. Brown, and P. L. Purdon, A Fast Iterative Greedy Algorithm for MEG Source Localization, 34th Annual International Confer- ence of the IEEE Engineering in Medicine and Biology (EMBC), Aug. 28–Sep. 1, San Diego, CA.

[C15] E. Pirondini, B. Babadi, C. Lamus, E. N. Brown, and P. L. Purdon, A Spatially-Regularized Dynamic Source Localization Algorithm for EEG, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC), Aug. 28–Sep. 1, San Diego, CA.

[C14] B. Babadi and V. Tarokh, Vertical Spectrum Sharing via Distributed Asynchronous Interference Avoidance in Cognitive Radio Networks, 2012 Wireless Consumer Communication and Networking Conference (CCNC 2012), January 14–17, Las Vegas, NV.

[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, Proceedings of the 42nd Annual Neuroscience Meeting (SfN 2012), Oct. 13—17, New Orleans, LA.

[A1] B. Babadi, S. M. McKinney, V. Tarokh, and J. M. Ellenbogen, A Data-Driven Bayesian Algorithm for Sleep Spindle Detection, 26th Annual Meeting of the American Academy of Sleep Medicine (SLEEP 2012), June 9–13, Boston, MA.

2011

[J6] N. Kalouptsidis, G. Mileounis, B. Babadi, and V. Tarokh, Adaptive Algorithms for Sparse System Identification, Signal Processing, Vol. 91, No. 8, pp. 1910–1919, Aug. 2011.

[J5] B. Babadi and V. Tarokh, Spectral Distribution of Random Matrices from Binary Linear Block Codes, IEEE Transactions on Information Theory, Vol. 57, No. 6, pp. 3955–3962, June 2011.

[C13] B. Babadi and V. Tarokh, Regularized Recursive Least Squares for Anomaly Detection in Sparse Channel Tracking Applications, 2011 Research in Applied Computation Symposium (RACS 2011), November 2–5, 2011, Miami, FL.

[C12] B. Babadi and V. Tarokh, Spectral Distribution of the Product of Two Random Matrices Based on Binary Block Codes, Forty-Ninth Annual Allerton Conference on Communication, Control, and Computing, September 28–30, 2011, Monticello, IL (invited).

[C11] G. Mileounis, N. Kalouptsidis, B. Babadi, and V. Tarokh, Blind Identification of Sparse Channels and Symbol Detection via the EM Algorithm, 17th International Conference on Digital Signal Processing (DSP2011), July 6–8, 2011, Corfu, Greece.

[C10] B. Babadi, S. Ghassemzadeh and V. Tarokh, Group Randomness Properties of Pseudo- Noise and Gold Sequences, 2011 Canadian Workshop on Information Theory (CWIT 2011), May 17–20, 2011, Kelowna, British Columbia, Canada.

2010

[J4] B. Babadi and V. Tarokh, GADIA: A Greedy Asynchronous Distributed Interference Avoidance Algorithm, IEEE Transactions on Information Theory, Vol. 56, No. 12, pp. 6228-6252, Dec. 2010.

[J3] B. Babadi, N. Kalouptsidis, and V. Tarokh, SPARLS: The Sparse RLS Algorithm, IEEE Transactions on Signal Processing, Vol. 58, No. 8, pp. 4013-4025, Aug. 2010.

[J2] G. Mileounis, B. Babadi, N. Kalouptsidis, and V. Tarokh, An Adaptive Greedy Algorithm with Application to Nonlinear Communications, IEEE Transactions on Signal Processing, Vol. 58, No. 6, pp. 2997-3008, June 2010.

[C9] B. Babadi and V. Tarokh, Random Frames From Binary Linear Block Codes, 44th Annual Conference on Information Sciences and Systems (CISS 2010), Princeton, NJ (invited).

2009

[J1] B. Babadi, N. Kalouptsidis, and V. Tarokh, Asymptotic Achievability of The Cramér–Rao Bound for Noisy Compressive Sampling, IEEE Transactions on Signal Processing, Vol. 57, No. 3, pp. 1233-1236, March 2009.

[C8] N. Kalouptsidis, G. Mileounis, B. Babadi, and V. Tarokh, Adaptive Algorithms for Sparse Nonlinear Channel Estimation, 2009 IEEE Workshop on Statistical Signal Processing (SSP’09), Cardiff, Wales, UK.

[C7] B. Babadi, N. Kalouptsidis, and V. Tarokh, Comparison of SPARLS and RLS Algorithms for Adaptive Filtering, 2009 IEEE Sarnoff Symposium, Princeton, NJ.

2008

[C6] B. Babadi and V. Tarokh, The Impact of Spectrum Sensing Time on the Performance of the GADIA Algorithm, IEEE Symposia On New Frontiers In Dynamic Spectrum Access Networks (IEEE DySPAN 2008), Chicago, IL.

[C5] B. Babadi and V. Tarokh, Distributed Dynamic Frequency Allocation in Wireless Networks Under Time-varying User Activities, 2008 IEEE Sarnoff Symposium, Princeton, NJ.

[C4] B. Babadi and V. Tarokh, Iterative Approach to Base Station Positioning in Cellular Networks, 2008 IEEE Sarnoff Symposium, Princeton, NJ.

[C3] B. Babadi and V. Tarokh, A Distributed Asynchronous Algorithm for Spectrum Sharing in Wireless Ad Hoc Networks, 42nd Annual Conference on Information Sciences and Systems (CISS 2008), Princeton, NJ.

< 2008

[C2] B. Babadi, P. Shariatpanahi, and B. H. Khalaj, An Adaptive Feedback Bit Allocation Method for Wireless Systems with Transmit Diversity, CCSP’05, Kuala Lumpur, Malaysia.

[C1] P. Shariatpanahi, B. Babadi, and B. H. Khalaj, Feedback Bit Reduction for Antenna Selection Methods in Wireless Systems, IEEE MICC-ICON’05, Kuala Lumpur, Malaysia..

Legends

J: Journal Publication

S: Submitted Manuscript

C: Peer-Reviewed Conference Publication

A: Abstract

B: Book Chapter