Elizaveta Okorokova - Publications

Affiliations: 
University of Chicago, Chicago, IL 
Area:
Computational Neuroscience

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Suresh AK, Goodman JM, Okorokova EV, Kaufman M, Hatsopoulos NG, Bensmaia SJ. Neural population dynamics in motor cortex are different for reach and grasp. Elife. 9. PMID 33200745 DOI: 10.7554/eLife.58848  0.84
2020 Okorokova E, Goodman JM, Hatsopoulos N, Bensmaia SJ. Decoding hand kinematics from population responses in sensorimotor cortex during grasping. Journal of Neural Engineering. PMID 32442987 DOI: 10.1088/1741-2552/ab95ea  0.84
2018 Okorokova E, He Q, Bensmaia SJ. Biomimetic encoding model for restoring touch in bionic hands through a nerve interface. Journal of Neural Engineering. PMID 30245482 DOI: 10.1088/1741-2552/aae398  0.84
2017 Ossadtchi A, Shamaeva T, Okorokova E, Moiseeva V, Lebedev MA. Neurofeedback learning modifies the incidence rate of alpha spindles, but not their duration and amplitude. Scientific Reports. 7: 3772. PMID 28630468 DOI: 10.1038/s41598-017-04012-0  0.8
2016 Okorokova E, Lebedev M, Lindermann M, Ossadtchi A. Corrigendum: A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings [Front. Neurosci. 2015, 9:389. doi: 10.3389/fnins.2015.00389] Frontiers in Neuroscience. 9. DOI: 10.3389/fnins.2015.00517  0.8
2015 Okorokova E, Lebedev M, Lindermann M, Ossadtchi A. Corrigendum: A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings. Frontiers in Neuroscience. 9: 517. PMID 26834543 DOI: 10.3389/fnins.2015.00517  0.8
2015 Okorokova E, Lebedev M, Linderman M, Ossadtchi A. A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings. Frontiers in Neuroscience. 9: 389. PMID 26578856 DOI: 10.3389/fnins.2015.00389  0.8
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