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Justin Cort Sanchez

Affiliations: 
University of Florida, Gainesville, Gainesville, FL, United States 
Area:
Brain Machine Interfaces
Website:
http://nrg.mbi.ufl.edu
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"Justin Sanchez"
Mean distance: 18.35 (cluster 51)
 
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Parents

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Jose Carlos Principe grad student 2000-2004 UF Gainesville
 (From cortical neural spike trains to behavior: Modeling and analysis.)
Paul Richard Carney post-doc UF Gainesville

Children

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Noeline Wilhelmina Prins research assistant 2011-2015 University of Miami
Babak Mahmoudi grad student University of Florida
Shijia Geng grad student 2011- University of Miami
Nicolas A Alba grad student 2005-2006 UF Gainesville

Collaborators

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Joseph T. Francis collaborator SUNY
BETA: Related publications

Publications

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Mylavarapu R, Prins NW, Pohlmeyer E, et al. (2021) Chronic recordings from the marmoset motor cortex reveals modulation of neural firing and local field potentials overlap with macaques. Journal of Neural Engineering
Debnath S, Prins NW, Pohlmeyer E, et al. (2018) Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum. Biomedical Physics & Engineering Express. 4
Ramirez-Zamora A, Giordano JJ, Gunduz A, et al. (2017) Evolving Applications, Technological Challenges and Future Opportunities in Neuromodulation: Proceedings of the Fifth Annual Deep Brain Stimulation Think Tank. Frontiers in Neuroscience. 11: 734
Prins NW, Pohlmeyer E, Debnath S, et al. (2017) Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies. Journal of Neuroscience Methods
Prins N, Sanchez J, Prasad A. (2017) Feedback for reinforcement learning based brain-machine Interfaces using confidence metrics. Journal of Neural Engineering
Bae J, Sanchez Giraldo LG, Pohlmeyer EA, et al. (2015) Kernel temporal differences for neural decoding. Computational Intelligence and Neuroscience. 2015: 481375
Miranda RA, Casebeer WD, Hein AM, et al. (2015) DARPA-funded efforts in the development of novel brain-computer interface technologies. Journal of Neuroscience Methods. 244: 52-67
Roset SA, Gant K, Prasad A, et al. (2014) An adaptive brain actuated system for augmenting rehabilitation. Frontiers in Neuroscience. 8: 415
Prins NW, Sanchez JC, Prasad A. (2014) A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces. Frontiers in Neuroscience. 8: 111
Li L, Brockmeier AJ, Choi JS, et al. (2014) A tensor-product-kernel framework for multiscale neural activity decoding and control. Computational Intelligence and Neuroscience. 2014: 870160
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