Ali Marjaninejad - Publications

Affiliations: 
University of Southern California, Los Angeles, CA, United States 
Area:
Machine Learning, Robotics, Neuroscience, Signal Processing, Biomedical Engineering

10 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
2023 Berry JA, Marjaninejad A, Valero-Cuevas FJ. Edge Computing in Nature: Minimal pre-processing of multi-muscle ensembles of spindle signals improves discriminability of limb movements. Frontiers in Physiology. 14: 1183492. PMID 37457034 DOI: 10.3389/fphys.2023.1183492  0.6
2021 Marjaninejad A, Klaes C, Valero-Cuevas FJ. 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. PMID 34892450 DOI: 10.1109/EMBC46164.2021.9631022  0.552
2021 Urbina-Melendez D, Wang J, Wang D, Marjaninejad A, Valero-Cuevas FJ. 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. PMID 34892223 DOI: 10.1109/EMBC46164.2021.9630631  0.591
2021 Hagen DA, Marjaninejad A, Loeb GE, Valero-Cuevas FJ. : A Bio-Inspired Machine Learning Approach to Estimating Posture in Robots Driven by Compliant Tendons. Frontiers in Neurorobotics. 15: 679122. PMID 34707488 DOI: 10.3389/fnbot.2021.679122  0.578
2020 Marjaninejad A, Urbina-Melendez D, Valero-Cuevas F. 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. PMID 33019039 DOI: 10.1109/EMBC44109.2020.9176182  0.626
2020 Marjaninejad A, Tan J, Valero-Cuevas F. Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 4680-4686. PMID 33019038 DOI: 10.1109/EMBC44109.2020.9176089  0.628
2019 Marjaninejad A, Urbina-Meléndez D, Cohn BA, Valero-Cuevas FJ. Autonomous Functional Movements in a Tendon-Driven Limb via Limited Experience. Nature Machine Intelligence. 1: 144-154. PMID 31161156 DOI: 10.1038/S42256-019-0029-0  0.651
2018 Marjaninejad A, Berry JA, Valero-Cuevas FJ. An Analytical Approach to Posture-Dependent Muscle Force and Muscle Activation Patterns. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 2068-2071. PMID 30440809 DOI: 10.1109/EMBC.2018.8512607  0.56
2018 Marjaninejad A, Annigeri R, Valero-Cuevas FJ. Model-Free Control of Movement in a Tendon-Driven Limb via a Modified Genetic Algorithm. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 1767-1770. PMID 30440737 DOI: 10.1109/EMBC.2018.8512616  0.587
2017 Marjaninejad A, Taherian B, Valero-Cuevas FJ. Finger movements are mainly represented by a linear transformation of energy in band-specific ECoG signals. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2017: 986-989. PMID 29060039 DOI: 10.1109/EMBC.2017.8036991  0.542
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