Post Recognition Speech Localization. - Sam Mavandadi; Parham Aarabi; Keyvan Mohajer; Maryam Modir Shanechi (Int. J. Speech Technol., 2005)

On the importance of phase in human speech recognition. - Guangji Shi; Maryam Modir Shanechi; Parham Aarabi (IEEE Trans. Speech Audio Process., 2006)

Rateless Codes for MIMO Channels. - Maryam Modir Shanechi; Uri Erez; Gregory W. Wornell (GLOBECOM, 2008)

Time-invariant rateless codes for MIMO channels. - Maryam Modir Shanechi; Uri Erez; Kevin P. Boyle; Gregory W. Wornell (ISIT, 2008)

A parallel point-process filter for estimation of goal-directed movements from neural signals. - Maryam Modir Shanechi; Gregory W. Wornell; Ziv Williams; Emery N. Brown (ICASSP, 2010)

Comparison of Practical Feedback Algorithms for Multiuser MIMO. - Maryam Modir Shanechi; Ron Porat; Uri Erez (IEEE Trans. Commun., 2010)

Real-time brain-machine interface architectures: neural decoding from plan to movement. - Maryam Modir Shanechi (2011)

A brain-machine interface for control of burst suppression in medical coma. - Maryam Modir Shanechi; Jessica J. Chemali; Max Liberman; Ken Solt; Emery N. Brown (EMBC, 2013)

A Brain-Machine Interface for Control of Medically-Induced Coma. - Maryam Modir Shanechi; Jessica J. Chemali; Max Liberman; Ken Solt; Emery N. Brown (PLoS Comput. Biol., 2013)

High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder. - Maryam M. Shanechi; Amy L. Orsborn; Helene G. Moorman; Suraj Gowda; Jose M. Carmena (EMBC, 2014)

An adaptive brain-machine interface algorithm for control of burst suppression in medical coma. - Yuxiao Yang; Maryam Modir Shanechi (EMBC, 2014)

A design of neural decoder by reducing discrepancy between Manual Control (MC) and Brain Control (BC). - Young Hwan Chang; Mo Chen 001; Maryam Shanechi; Jose M. Carmena; Claire J. Tomlin (ECC, 2014)

Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces. - Siddharth Dangi; Suraj Gowda; Helene G. Moorman; Amy L. Orsborn; Kelvin So; Maryam Shanechi; Jose M. Carmena (Neural Comput., 2014)

A Concurrent Brain-Machine Interface for Enhanced Sequential Motor Function. - Maryam M. Shanechi; Rollin C. Hu; Marissa Powers; Gregory W. Wornell; Emery N. Brown; Ziv M. Williams (Brain-Computer Interface Research (3), 2014)

Optimal calibration of the learning rate in closed-loop adaptive brain-machine interfaces. - Han-Lin Hsieh; Maryam Modir Shanechi (EMBC, 2015)

A generalizable adaptive brain-machine interface design for control of anesthesia. - Yuxiao Yang; Maryam Modir Shanechi (EMBC, 2015)

A framework for identification of brain network dynamics using a novel binary noise modulated electrical stimulation pattern. - Yuxiao Yang; Maryam Modir Shanechi (EMBC, 2015)

Multiscale brain-machine interface decoders. - Han-Lin Hsieh; Maryam Modir Shanechi (EMBC, 2016)

Generalized binary noise stimulation enables time-efficient identification of input-output brain network dynamics. - Yuxiao Yang; Maryam Modir Shanechi (EMBC, 2016)

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering. - Maryam M. Shanechi; Amy L. Orsborn; Jose M. Carmena (PLoS Comput. Biol., 2016)

Multiscale modeling of dependencies between spikes and fields. - Hamidreza Abbaspourazad; Han-Lin Hsieh; Maryam M. Shanechi (ACSSC, 2017)

An unsupervised learning algorithm for multiscale neural activity. - Hamidreza Abbaspourazad; Maryam Modir Shanechi (EMBC, 2017)

Multiscale decoding for reliable brain-machine interface performance over time. - Han-Lin Hsieh; Yan Tat Wong; Bijan Pesaran; Maryam Modir Shanechi (EMBC, 2017)

Dynamic tracking of non-stationarity in human ECoG activity. - Yuxiao Yang; Edward F. Chang; Maryam Modir Shanechi (EMBC, 2017)

Identifying multiscale hidden states to decode behavior. - Hamidreza Abbaspourazad; Yan Tat Wong; Bijan Pesaran; Maryam M. Shanechi (EMBC, 2018)

Decoding Spike Trains from Neurons with Spatio-Temporal Receptive Fields. - Nitin Sadras; Maryam M. Shanechi (EMBC, 2018)

Optimizing the learning rate for adaptive estimation of neural encoding models. - Han-Lin Hsieh; Maryam M. Shanechi (PLoS Comput. Biol., 2018)

Investigating the effect of forgetting factor on tracking non-stationary neural dynamics. - Parima Ahmadipour; Yuxiao Yang; Maryam M. Shanechi (NER, 2019)

Decoder for Switching State-Space Models with Spike-Field Observations. - Christian Y. Song; Han-Lin Hsieh; Maryam M. Shanechi (NER, 2019)

Confidence Prediction from EEG Recordings in a Multisensory Environment. - Jacobo Fernández-Vargas; Davide Valeriani; Caterina Cinel; Nitin Sadras; Parima Ahmadipour; Maryam M. Shanechi; Luca Citi; Riccardo Poli (ICBET, 2020)

Spectral Learning of Shared Dynamics Between Generalized-Linear Processes. - Lucine L. Oganesian; Omid G. Sani; Maryam Shanechi (NeurIPS, 2024)

Probabilistic Geometric Principal Component Analysis with application to neural data. - Han-Lin Hsieh; Maryam Shanechi (ICLR, 2025)

BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data. - Parsa Vahidi; Omid G. Sani; Maryam Shanechi (ICLR, 2025)

Preferential subspace identification (PSID) with forward-backward smoothing. - Omid G. Sani; Maryam M. Shanechi (CoRR, 2025)