Maryam M. Shanechi
Maryam M. Shanechi
Departments of Electrical & Computer Eng., Computer Science, Biomedical Eng., 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
Brain–machine interfaces from motor to mood
MM Shanechi
Nature neuroscience 22 (10), 1554-1564, 2019
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
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
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
Rapid control and feedback rates enhance neuroprosthetic control
MM Shanechi, AL Orsborn, HG Moorman, S Gowda, S Dangi, ...
Nature communications 8 (1), 13825, 2017
Modelling and prediction of the dynamic responses of large-scale brain networks during direct electrical stimulation
Y Yang, S Qiao, OG Sani, JI Sedillo, B Ferrentino, B Pesaran, ...
Nature biomedical engineering 5 (4), 324-345, 2021
Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification
OG Sani, H Abbaspourazad, YT Wong, B Pesaran, MM Shanechi
Nature Neuroscience 24 (1), 140-149, 2021
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
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
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
A cortical–spinal prosthesis for targeted limb movement in paralysed primate avatars
MM Shanechi, RC Hu, ZM Williams
Nature communications 5 (1), 3237, 2014
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
Brain–machine interface control algorithms
MM Shanechi
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2016
A brain-machine interface for control of medically-induced coma
MM Shanechi, JJ Chemali, M Liberman, K Solt, EN Brown
PLoS computational biology 9 (10), e1003284, 2013
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
Multiscale low-dimensional motor cortical state dynamics predict naturalistic reach-and-grasp behavior
H Abbaspourazad, M Choudhury, YT Wong, B Pesaran, MM Shanechi
Nature communications 12 (1), 607, 2021
Dynamic network modeling and dimensionality reduction for human ECoG activity
Y Yang, OG Sani, EF Chang, MM Shanechi
Journal of neural engineering 16 (5), 056014, 2019
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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