Maryam M. Shanechi
Maryam M. Shanechi
Department of Electrical Engineering, University of Southern California (USC)
Verified email at - Homepage
Cited by
Cited by
Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
AL Orsborn, HG Moorman, SA Overduin, MM Shanechi, DF Dimitrov, ...
Neuron 82 (6), 1380-1393, 2014
On the importance of phase in human speech recognition
G Shi, MM Shanechi, P Aarabi
IEEE transactions on audio, speech, and language processing 14 (5), 1867-1874, 2006
Robust brain-machine interface design using optimal feedback control modeling and adaptive point process filtering
MM Shanechi, AL Orsborn, JM Carmena
PLoS computational biology 12 (4), e1004730, 2016
A real-time brain-machine interface combining motor target and trajectory intent using an optimal feedback control design
MM Shanechi, ZM Williams, GW Wornell, RC Hu, M Powers, EN Brown
PloS one 8 (4), e59049, 2013
Neural population partitioning and a concurrent brain-machine interface for sequential motor function
MM Shanechi, RC Hu, M Powers, GW Wornell, EN Brown, ZM Williams
Nature neuroscience 15 (12), 1715-1722, 2012
Mood variations decoded from multi-site intracranial human brain activity
OG Sani, Y Yang, MB Lee, HE Dawes, EF Chang, MM Shanechi
Nature biotechnology 36 (10), 954-961, 2018
Rapid control and feedback rates enhance neuroprosthetic control
MM Shanechi, AL Orsborn, HG Moorman, S Gowda, S Dangi, ...
Nature communications 8 (1), 1-10, 2017
A cortical–spinal prosthesis for targeted limb movement in paralysed primate avatars
MM Shanechi, RC Hu, ZM Williams
Nature communications 5 (1), 1-9, 2014
Direct electrical stimulation of lateral orbitofrontal cortex acutely improves mood in individuals with symptoms of depression
VR Rao, KK Sellers, DL Wallace, MB Lee, M Bijanzadeh, OG Sani, ...
Current Biology 28 (24), 3893-3902. e4, 2018
Feedback-controlled parallel point process filter for estimation of goal-directed movements from neural signals
MM Shanechi, GW Wornell, ZM Williams, EN Brown
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (1 …, 2012
A brain-machine interface for control of medically-induced coma
MM Shanechi, JJ Chemali, M Liberman, K Solt, EN Brown
PLoS Comput Biol 9 (10), e1003284, 2013
Brain–machine interface control algorithms
MM Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2016
Continuous closed-loop decoder adaptation with a recursive maximum likelihood algorithm allows for rapid performance acquisition in brain-machine interfaces
S Dangi, S Gowda, HG Moorman, AL Orsborn, K So, M Shanechi, ...
Neural computation 26 (9), 1811-1839, 2014
Phase-based speech processing
P Aarabi, G Shi, MM Shanechi, AS Rabi
World Scientific Publishing Company, 2005
A control-theoretic system identification framework and a real-time closed-loop clinical simulation testbed for electrical brain stimulation
Y Yang, AT Connolly, MM Shanechi
Journal of neural engineering 15 (6), 066007, 2018
Brain–machine interfaces from motor to mood
MM Shanechi
Nature neuroscience 22 (10), 1554-1564, 2019
High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder
MM Shanechi, A Orsborn, H Moorman, S Gowda, JM Carmena
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
A parallel point-process filter for estimation of goal-directed movements from neural signals
MM Shanechi, GW Wornell, Z Williams, EN Brown
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
Comparison of practical feedback algorithms for multiuser MIMO
MM Shanechi, R Porat, U Erez
IEEE transactions on communications 58 (8), 2436-2446, 2010
An adaptive and generalizable closed-loop system for control of medically induced coma and other states of anesthesia
Y Yang, MM Shanechi
Journal of neural engineering 13 (6), 066019, 2016
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