Francisco J. Valero-Cuevas
Affiliations: | Cornell University, Ithaca, NY, United States | ||
University of Southern California, Los Angeles, CA, United States |
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"Francisco Valero-Cuevas"Mean distance: 16.31 (cluster 22)
Children
Sign in to add traineeBrenda Ru Chen | research assistant | Cornell | |
Kornelius Rácz | grad student | 2007- | USC |
Daniel A Hagen | grad student | 2015- | USC |
Ali Marjaninejad | grad student | 2015- | USC |
Madhusudhan Venkadesan | grad student | 2000-2007 | Cornell |
Veronica J. Santos | grad student | 2001-2007 | Cornell |
Nicholas B. Wettels | grad student | 2011 | USC |
Sudarshan Dayanidhi | grad student | 2012 | USC |
Jeremy A. Fishel | grad student | 2012 | USC |
Joshua M. Inouye | grad student | 2012 | USC |
Manish U. Kurse | grad student | 2012 | USC |
Cornelius Raths | grad student | 2012 | USC |
Suraj Chakravarthi Raja | grad student | 2015-2020 | USC |
Kevin G. Keenan | post-doc | Cornell | |
Kian Jalaleddini | post-doc | 2015-2017 | USC |
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Publications
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Lin DJ, Backus D, Chakraborty S, et al. (2024) Transforming modeling in neurorehabilitation: clinical insights for personalized rehabilitation. Journal of Neuroengineering and Rehabilitation. 21: 18 |
Niyo G, Almofeez LI, Erwin A, et al. (2023) An -MN collateral to -MNs can mitigate velocity-dependent stretch reflexes during voluntary movement: A computational study. Biorxiv : the Preprint Server For Biology |
Cohn BA, Valero-Cuevas FJ. (2023) Muscle redundancy is greatly reduced by the spatiotemporal nature of neuromuscular control. Frontiers in Rehabilitation Sciences. 4: 1248269 |
Berry JA, Marjaninejad A, Valero-Cuevas FJ. (2023) Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movements. Frontiers in Physiology. 14: 1183492 |
Bartsch-Jimenez A, Błażkiewicz M, Azadjou H, et al. (2023) "" describe motor adaptation in people with drop foot in a way that supplements traditional "". Frontiers in Sports and Active Living. 5: 1080170 |
Marjaninejad A, Klaes C, Valero-Cuevas FJ. (2021) Data-efficient Causal Decoding of Spiking Neural Activity using Weighted Voting. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 5850-5855 |
Urbina-Melendez D, Wang J, Wang D, et al. (2021) Estimating Center of Pressure of a Bipedal Mechanism Using a Proprioceptive Artificial Skin around its Ankles. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 4522-4528 |
Hagen DA, Marjaninejad A, Loeb GE, et al. (2021) : A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons. Frontiers in Neurorobotics. 15: 679122 |
Nagamori A, Laine CM, Loeb GE, et al. (2021) Force variability is mostly not motor noise: Theoretical implications for motor control. Plos Computational Biology. 17: e1008707 |
Marjaninejad A, Urbina-Melendez D, Valero-Cuevas F. (2020) Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven Systems. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 4687-4693 |