Ali Farshchian
Ali Farshchian
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Cited by
Cited by
Latent factors and dynamics in motor cortex and their application to brain–machine interfaces
C Pandarinath, KC Ames, AA Russo, A Farshchian, LE Miller, EL Dyer, ...
Journal of Neuroscience 38 (44), 9390-9401, 2018
Upper body-based power wheelchair control interface for individuals with tetraplegia
EB Thorp, F Abdollahi, D Chen, A Farshchiansadegh, MH Lee, ...
IEEE transactions on neural systems and rehabilitation engineering 24 (2†…, 2015
Assistive robotic manipulation through shared autonomy and a body-machine interface
S Jain, A Farshchiansadegh, A Broad, F Abdollahi, F Mussa-Ivaldi, ...
2015 IEEE international conference on rehabilitation robotics (ICORR), 526-531, 2015
Adversarial domain adaptation for stable brain-machine interfaces
A Farshchian, JA Gallego, JP Cohen, Y Bengio, LE Miller, SA Solla
arXiv preprint arXiv:1810.00045, 2018
A body machine interface based on inertial sensors
A Farshchiansadegh, F Abdollahi, D Chen, MH Lee, J Pedersen, ...
2014 36th annual international conference of the IEEE engineering in†…, 2014
Children show limited movement repertoire when learning a novel motor skill
MH Lee, A Farshchiansadegh, R Ranganathan
Developmental science 21 (4), e12614, 2018
Body-machine interface enables people with cervical spinal cord injury to control devices with available body movements: proof of concept
F Abdollahi, A Farshchiansadegh, C Pierella, I SeŠŮez-GonzŠlez, E Thorp, ...
Neurorehabilitation and neural repair 31 (5), 487-493, 2017
Remapping residual coordination for controlling assistive devices and recovering motor functions
C Pierella, F Abdollahi, A Farshchiansadegh, J Pedersen, EB Thorp, ...
Neuropsychologia 79, 364-376, 2015
Adaptation to visual feedback delay in a redundant motor task
A Farshchiansadegh, R Ranganathan, M Casadio, FA Mussa-Ivaldi
Journal of neurophysiology 113 (2), 426-433, 2015
Sensory agreement guides kinetic energy optimization of arm movements during object manipulation
A Farshchiansadegh, A Melendez-Calderon, R Ranganathan, ...
PLoS computational biology 12 (4), e1004861, 2016
Learning new movements after paralysis: Results from a home-based study
C Pierella, F Abdollahi, E Thorp, A Farshchiansadegh, J Pedersen, ...
Scientific reports 7 (1), 4779, 2017
Body-machine interfaces after spinal cord injury: rehabilitation and brain plasticity
I SeŠŮez-GonzŠlez, C Pierella, A Farshchiansadegh, EB Thorp, X Wang, ...
Brain sciences 6 (4), 61, 2016
Body machine interfaces for neuromotor rehabilitation: a case study
C Pierella, F Abdollahi, A Farshchiansadegh, J Pedersen, D Chen, ...
2014 36th Annual International Conference of the IEEE Engineering in†…, 2014
A body-machine interface for training selective pelvis movements in stroke survivors: a pilot study
S Summa, C Pierella, P Giannoni, A Sciacchitano, S Iacovelli, ...
2015 37th Annual International Conference of the IEEE Engineering in†…, 2015
Linear vs non-linear mapping in a body machine interface based on electromyographic signals
C Pierella, A Sciacchitano, A Farshchiansadegh, M Casadio, ...
2018 7th IEEE International Conference on Biomedical Robotics and†…, 2018
Static versus dynamic decoding algorithms in a non-invasive body–machine interface
I SeŠŮez-GonzŠlez, C Pierella, A Farshchiansadegh, EB Thorp, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (7†…, 2016
Energy exchanges at contact events guide sensorimotor integration
A Farshchian, A Sciutti, A Pressman, I Nisky, FA Mussa-Ivaldi
Elife 7, e32587, 2018
Body signal control device and related methods
FA Mussa-Ivaldi, F Abdollahi, A Farshchiansadegh, M Casadio, MH Lee, ...
US Patent 10,973,713, 2021
Designing visual feedback to reshape muscle coordination
J Mintz, D De Santis, F Rizzoglio, A Farshchiansadegh, FA Mussa-Ivaldi
Converging Clinical and Engineering Research on Neurorehabilitation III†…, 2019
Systems and Methods for Nonlinear Latent Spatiotemporal Representation Alignment Decoding for Brain-Computer Interfaces
C Pandarinath, M Keshtkaran, YH Ali, LN Wimalasena, AR Sedler, ...
US Patent App. 17/512,339, 2022
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