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Ali Marjaninejad

Showing results (1-10 of 13) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A model-based exploration of the role of pattern generating circuits during locomotor adaptationAli Marjaninejad, James M Finley
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance LearningAli Marjaninejad, Jie Tan, Francisco Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic AlgorithmAli Marjaninejad, Rohit Annigeri, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation PatternsAli Marjaninejad, Jasmine A Berry, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven SystemsAli Marjaninejad, Dario Urbina-Melendez, Francisco Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Data-efficient Causal Decoding of Spiking Neural Activity using Weighted VotingAli Marjaninejad, Christian Klaes, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signalsAli Marjaninejad, Babak Taherian, Francisco J Valero-Cuevas
Journal of the Royal Society, Interface|May 26, 2026
Perception in action: a robotic system that can teach itself to melodiously play music by earHesam Azadjou, Ali Marjaninejad, Francisco J Valero-Cuevas
Frontiers in Physiology|July 17, 2023
Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movementsJasmine A Berry, Ali Marjaninejad, Francisco J Valero-Cuevas
Frontiers in Neurorobotics|October 28, 2021
<i>insideOut</i>: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant TendonsDaniel A Hagen, Ali Marjaninejad, Gerald E Loeb, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A model-based exploration of the role of pattern generating circuits during locomotor adaptationAli Marjaninejad, James M Finley
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance LearningAli Marjaninejad, Jie Tan, Francisco Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic AlgorithmAli Marjaninejad, Rohit Annigeri, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation PatternsAli Marjaninejad, Jasmine A Berry, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Simple Kinematic Feedback Enhances Autonomous Learning in Bio-Inspired Tendon-Driven SystemsAli Marjaninejad, Dario Urbina-Melendez, Francisco Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Data-efficient Causal Decoding of Spiking Neural Activity using Weighted VotingAli Marjaninejad, Christian Klaes, Francisco J Valero-Cuevas
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signalsAli Marjaninejad, Babak Taherian, Francisco J Valero-Cuevas
Journal of the Royal Society, Interface|May 26, 2026
Perception in action: a robotic system that can teach itself to melodiously play music by earHesam Azadjou, Ali Marjaninejad, Francisco J Valero-Cuevas
Frontiers in Physiology|July 17, 2023
Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movementsJasmine A Berry, Ali Marjaninejad, Francisco J Valero-Cuevas
Frontiers in Neurorobotics|October 28, 2021
<i>insideOut</i>: A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant TendonsDaniel A Hagen, Ali Marjaninejad, Gerald E Loeb, et al.
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