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Publications

2018

Papers

Hsieh H, Wong Y, Pesaran B, Shanechi M.M., “Multiscale Modeling and Decoding Algorithms for Spike-Field Activity”, Journal of Neural Engineering, Oct. 2018 (link)

Sani O. G., Yang Y., Lee M. B., Dawes H. E., Chang E.F., Shanechi M. M., “Mood variations decoded from multi-site intracranial human brain activity”, Nature Biotechnology, Sep. 2018 (link) (USC News story) (“Behind the paper” story in Nature Communities) (Excerpts from Select Media Coverage: NewScientist, The Wall Street Journal, New Atlas) (Selected as journal cover article)

Yang Y., Connolly A. T., Shanechi M. M., “A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation.” Journal of Neural Engineering 15:066007, Sep. 2018 (link)

Hsieh H., Shanechi M. M., “Optimizing the Learning Rate for Adaptive Estimation of Neural Encoding Models”, PLoS Computational Biology 14(5): e1006168, May 2018 (link)

Abbaspourazad H., Wong Y., Pesaran B., Shanechi M. M., “Identifying Multiscale Hidden States to Decode Behavior”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Honolulu, HI, 2018.

Bighamian R., Shanechi M. M., “Estimation of Functional Dependence in High-Dimensional Spike-Field Activity”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Honolulu, HI, 2018.

Sadras, N., Shanechi M. M., “Decoding Spike Trains from Neurons with Spatio-Temporal Receptive Fields”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Honolulu, HI, 2018.

Wang C., Shanechi M.M., “An Information-Theoretic Measure of Multiscale Causality for Spike-Field Activity”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Honolulu, HI, 2018.

Abstracts

Hsieh, H., Wong Y.T., Pesaran B., Shanechi M. M., “Multiscale modeling and decoding of spike-field activity during a naturalistic reach-to-grasp task”, Computational and Systems Neuroscience (Cosyne), 1–4 Mar. 2018, Denver, CO.

Yang Y., Sani O., Sellers K.K., Chang E. F., Shanechi M. M., “A novel framework for dynamic modeling of brain-network response to electrical stimulation”, Computational and Systems Neuroscience (Cosyne), 1–4 Mar. 2018, Denver, CO.

Sani O., Yang Y., Lee M., Dawes H., Chang E. F., Shanechi M. M., “Decoding mood state from multisite ECoG activity in human subjects”, Computational and Systems Neuroscience (Cosyne), 1–4 Mar. 2018, Denver, CO.

 2017

Book Chapter

Shanechi M. M., “Brain-machine interfaces”, Dynamic Neuroscience, Ed. S. Sarma, Ed. Z. Chen, Springer International Publishing.

Papers

Shanechi M.M., Orsborn A.L., Moorman H., Gowda S., Dangi S, Carmena J.M., “Rapid control and feedback rates enhance neuroprosthetic control”, Nature Communications, 8:13825, Jan. 2017 (link)

Shanechi M.M., “Brain-machine interface control algorithms”, IEEE Transactions on Neural Systems and Rehabilitation Engineering 25(10):1725 – 1734, 2017 (link)

Abbaspourazad H., Shanechi M. M., “Multiscale modeling of dependencies between spikes and fields”, in Proceedings of Asilomar Conference on Signals, Systems, and Computers, 29–31 Oct. 2017, Pacific Grove, CA. (link)

Yang Y., Chang E.F., Shanechi M.M., “Dynamic tracking of non-stationarity in human ECoG activity”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Jeju Island, Korea, 2017 (link)

Hsieh H., Wong Y.T., Pesaran B., Shanechi M.M., “Multiscale decoding for reliable brain-machine interface performance over time”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Jeju Island, Korea, 2017 (link)

Abbaspourazad H., Shanechi M.M., “An unsupervised learning algorithm for multiscale neural activity”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Jeju Island, Korea, 2017 (link)

Abstracts

Hsieh, H., Wong Y.T., Pesaran B., Shanechi M. M., “Multiscale decoding of spike-field activity to improve brain-machine interface robustness and longevity”, Annual Meeting, Society for Neuroscience (SFN), 11–15 Nov. 2017, Washington, DC.

Abbaspourazad H., Shanechi M. M., “Learning the dependencies between spikes and fields in multiscale modeling”, Annual Meeting, Society for Neuroscience (SFN), 11–15 Nov. 2017, Washington, DC.

Yang Y., Sellers K.K., Chang E. F., Shanechi M. M., “Modeling dynamic brain network responses to electrical stimulation”, Annual Meeting, Society for Neuroscience (SFN), 11–15 Nov. 2017, Washington, DC.

Sani O., Yang Y., Chang E. F., Shanechi M. M., “Real-time decoding of mood from human large-scale ECoG activity”, Annual Meeting, Society for Neuroscience (SFN), 11–15 Nov. 2017, Washington, DC.

 2016

Papers

Yang Y., Shanechi M.M., “An adaptive and generalizable closed-loop system for control of medically-induced coma and other states of anesthesia”, Journal of Neural Engineering, 13(6):066019, Nov. 2016 (link)

Shanechi M.M., Orsborn A.L., Carmena J.M., “Robust brain-machine interface design using optimal feedback control modeling and adaptive point process filtering”, PLoS Computational Biology 12(4): e1004730, Apr. 2016. (link). Access the recommendation on F1000Prime

Yang Y., Shanechi M.M., “Time-Efficient Identification of Input-Output Brain Dynamics“, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Orlando, FL, 2016 (link)

Hsieh H., Shanechi M.M, “Multiscale Brain-Machine Interface Decoders“, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Orlando, FL, 2016 (link)

Abstracts

Abbaspourazad H., Shanechi M.M., “A new modeling framework for multiscale neural activity underlying behavior”, Society for Neuroscience (SFN), San Diego, CA, 2016,

Hsieh, H., Shanechi M.M., “Adaptive multiscale brain-machine interface decoders”, Society for Neuroscience (SFN), San Diego, CA, 2016

Yang Y., Shanechi M.M., “Adaptive identification of high-dimensional brain network dynamics to track non-stationarity and plasticity”, Society for Neuroscience (SFN), San Diego, CA, 2016

2015

Papers

Yang Y., Shanechi M.M., “A framework for identification of brain network dynamics using a novel binary noise modulated electrical stimulation pattern”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Milan, Italy, 2015 (link)

– Top three winners of the IEEE EMBC student paper competition (link)

Hsieh H., Shanechi M.M, “Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfaces”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Milan, Italy, 2015 (link)

Yang Y., Shanechi M.M., “A generalizable adaptive brain-machine interface architecture for closed-loop control of anesthesia”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Milan, Italy, 2015 (link)

Abstracts

Connolly A., Yang Y., Chang E.F., Shanechi M.M., “Modeling brain network dynamics underlying mood disorders”, Society for Neuroscience (SFN), Chicago, Il., 2015

Yang Y., Connolly A., Shanechi M.M., “A novel binary noise modulated electrical stimulation pattern for identification of brain network dynamics”, Society for Neuroscience (SFN), Chicago, Il., 2015

Hsieh, H., Shanechi M.M., “A general framework for optimal selection of the learning rate in closed-loop brain-machine interfaces”, Society for Neuroscience (SFN), Chicago, Il., 2015

Shanechi M.M., Orsborn A.L., Moorman H., Gowda S., Dangi S, Carmena J.M., “Rapid sensorimotor control and feedback rates enhance neuroprosthetic control”, Cell Symposia: Engineering the Brain, Chicago, Il., 2015

Yang Y., Shanechi M.M., “An adaptive and robust brain-machine interface architecture for closed-loop control of anesthesia”, International Anesthesia Research Society (IARS) meeting, Honolulu, HI, 2015.

2014

Papers

Orsborn A. L., Mooreman H. G., Overduin S. A., Shanechi M. M., Dimitrov D. F., Carmena J. M., “Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control”, Neuron 82(6), Jun. 2014. (link)

Dangi S., Gowda S., Moorman H.G., Orsborn A.L., So K., Shanechi M. M., Carmena J.M., “Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces”, Neural Computation, 26:9, Sep. 2014. (link)

Shanechi M. M., Hu R., Williams, Z.M., “A cortical-spinal prosthesis for targeted limb movement in paralyzed primate avatars”, Nature Communications, 5:3237, Feb. 2014 (pdf) (link)

-Selected Media Highlights: Cornell Chronicle, BBC News, Le Monde

Yang Y., Shanechi M.M., “An adaptive brain-machine interface algorithm for control of burst suppression in medical coma”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Chicago, Il, 2014 (link)

Shanechi M.M., Orsborn A.L., Moorman H., Gowda S., Carmena J.M., “High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Chicago, Il., 2014 (link)

Chang Y. H., Chen M., Shanechi M. M., Carmena J. M., Tomlin C., “A design of neural decoder by reducing discrepancy between manual control and brain control”, in Proceedings of European Control Conference (ECC), Strasbourg, France, 2014 (link)

Abstracts

Shanechi M.M., Orsborn A.L., Moorman H., Gowda S., Dangi S., Carmena J.M., “Spike-by-spike control using an adaptive optimal feedback-controlled point process decoder improves BMI performance”, Society for Neuroscience (SFN), Washington DC, 2014

Shanechi M. M., Chemali J., Liberman M., Solt K., Brown E. N., “Control of burst-suppression in a rodent model of medical coma using a brain-machine interface”, International Anesthesia Research Society (IARS) meeting, Montreal, Canada, 2014.

-Best paper award in Technology, Computation, and Simulation

2013

Papers

Shanechi M. M., Chemali J., Liberman M., Solt K., Brown E. N. “A brain-machine interface for control of medically-induced coma”, PLOS Computational Biology, 9(10), Oct. 2013 (pdf) (link)

-Selected Media Highlights: Cornell Chronicle, MIT News, NBC News

Shanechi M. M., Williams Z. M., Wornell G. W., Hu R. C., Powers M., Brown E. N. “A real-time brain-machine interface combining motor target and trajectory intent using an optimal feedback control design”, PLOS ONE 8 (4), Apr. 2013. (pdf) (link)

Shanechi M. M., Carmena J. M. “Optimal feedback-controlled point process decoder for adaptation and assisted training in brain-machine interfaces”, in Proceedings of IEEE international conference on neural engineering (NER), San Diego, CA, 2013 (link)

Shanechi M. M., Orsborn A., Gowda S., Carmena J. M. “Proficient BMI control enabled by closed-loop adaptation of an optimal feedback-controlled point process decoder”, in Translational and Computational Motor Control (TCMC) Meeting, San Diego, CA, 2013

Shanechi M. M., Chemali J., Liberman M., Solt K., Brown E. N. “A brain-machine interface for control of burst suppression in medical coma”, in Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC) Conference, Osaka, Japan, 2013 (link)

Abstracts

Shanechi M. M., Chemali J., Liberman M., Solt K., Brown E. N. “A brain-machine interface for control of medically-induced coma”, in Computational and Systems Neuroscience (COSYNE) Meeting, Salt Lake City, 2013.

Shanechi M. M., Chemali J., Liberman M., Solt K., Brown E. N. “A brain-machine interface for control of medically-induced coma”, Society for Neuroscience (SFN), San Diego, CA, 2013

2012

Papers

Shanechi M. M., Hu R., Powers M., Wornell G. W., Brown E. N., Williams Z. M. “Neural population partitioning and a concurrent brain-machine interface for sequential motor function”, Nature Neuroscience, 15 (12), Dec. 2012. (pdf) (link)

-Nature Research Highlights: “Brain–machine does the two-step”, Nature, 491 (305), Nov. 2012 (pdf) (link)

-Selected Media Highlights: MIT EECS News, MIT RLE News

Shanechi M. M., Wornell G. W., Williams Z. M., Brown E. N. “Feedback-controlled parallel point process filter for estimation of goal-directed movements from neural signals”, IEEE Trans. on Neural Syst. Rehabil. Eng., Oct. 2012. (pdf) (link)

Abstracts

Shanechi M. M., Hu R., Powers M., Wornell G. W., Brown E. N., Williams Z. M. “A concurrent brain-machine interface for enhanced motor function”, in Computational and Systems Neuroscience (COSYNE), Salt Lake City, USA, 2012

2011 and earlier

Papers

Shanechi M. M., Porat R., Erez U. “Comparison of practical feedback algorithms for multiuser MIMO”, IEEE Transactions on Communications, 58 (8), Aug. 2010. (pdf) (link)

Shi G., Shanechi M. M., Aarabi, P. “On the importance of phase in human speech recognition”, IEEE Transactions on Audio, Speech and Language Processing, 14 (5), Sep. 2006. (pdf) (link)

Mavandadi S., Aarabi P., Mohajer K., Shanechi M. M. “Post recognition speech localization”, International Journal of Speech Technology, 8 (2), Jun. 2005.

Shanechi M. M., Wornell G. W., Williams Z. M., Brown E. N. “A parallel point-process filter for estimation of goal-directed movements from neural signals”, in Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (Dallas, USA, 2010) (pdf) (link)

Shanechi M. M., Porat R., Erez U. “Comparison of practical feedback algorithms for multiuser MIMO”, in Proceedings of IEEE Vehicular Technology Conference (VTC), (Barcelona, Spain, 2009) (pdf) (link)

Shanechi M. M., Erez U., Wornell G. W. “Rateless codes for MIMO channels”, in Proceedings of IEEE Global Communications Conference (GLOBECOM), (New Orleans, USA, 2008) (pdf) (link)

Shanechi M. M., Erez U., Wornell G. W. “Time-invariant rateless codes for MIMO channels”, in Proceedings of IEEE International Symposium on Information Theory (ISIT), (Toronto, Canada, 2008) (pdf) (link)

Shanechi M. M., Erez U., Wornell G. W. “Universal coding for parallel Gaussian channels”, in Proceedings of IEEE International Zurich Seminar on Communications (ETH), (Zurich, Switzerland, 2008) (pdf) (link)

Shanechi M. M., Aarabi P.: “Structural analysis of multisensor arrays for speech separation applications”, in Proceedings of Sensor Fusion: Architectures, Algorithms, and Applications VII, (Orlando, USA, 2003)

Abstracts

Shanechi M. M., Hu R., Powers M., Wornell G. W., Brown E. N., Williams Z. M. “A real-time concurrent brain-machine interface for performing sequential movements”, in 41st Annual Meeting, Society for Neuroscience (SFN), Washington, USA, 2011

Shanechi M. M., Hu R., Powers M., Wornell G. W., Brown E. N., Williams Z. M. “A brain-machine interface combining target and trajectory information using optimal feedback control”, in Computational and Systems Neuroscience (COSYNE) Meeting, Salt Lake City, USA, 2011.

Shanechi M. M., Williams Z. M., Wornell G. W., Brown E. N. “Combining plan and peri-movement activities improves the performance of brain-machine interfaces”, in 40th Annual Meeting, Society for Neuroscience (SFN), San Diego, USA, 2010

Shanechi M. M., Williams Z. M., Wornell G. W., Brown E. N. “A real-time brain-machine interface combining plan and peri-movement activities”, in Research in Encoding And Decoding of Neural Ensembles Conference (AREADNE), Santorini, Greece, 2010

Thesis

Shanechi M. M. “Real-time brain-machine interface architectures: neural decoding from plan to movement”, PhD Dissertation, MIT, April 2011. (pdf)

Book

Aarabi P., Shi G., Shanechi M. M., Rabi S., “Phase-based speech processing”, World Scientific, 2006.