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Pranav Mamidanna
Pranav Mamidanna
Eric and Wendy Schmidt AI in Science Postdoctoral Fellow, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ...
Nature neuroscience 21 (9), 1281-1289, 2018
39332018
Contrasting action and posture coding with hierarchical deep neural network models of proprioception
KJ Sandbrink, P Mamidanna, C Michaelis, M Bethge, MW Mathis, ...
Elife 12, e81499, 2023
29*2023
Action representation in the mouse parieto-frontal network
T Tombaz, BA Dunn, K Hovde, RJ Cubero, B Mimica, P Mamidanna, ...
Scientific reports 10 (1), 5559, 2020
212020
The impact of objective functions on control policies in closed-loop control of grasping force with a myoelectric prosthesis
P Mamidanna, JL Dideriksen, S Dosen
Journal of Neural Engineering 18 (5), 056036, 2021
152021
Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces
P Mamidanna, JL Dideriksen, S Dosen
Journal of Neural Engineering 19 (5), 056012, 2022
82022
Towards goal-driven deep neural network models to elucidate human arm proprioception
P Mamidanna, C Michaelis, A Mathis, M Bethge
28th Annual Meeting of the Society for the Neural Control of Movement (NCM …, 2018
12018
Inferring Physiological Properties of Motor Neurons using Neural Posterior Estimation
P Mamidanna, D Farina
ICML 2024 Workshop on Structured Probabilistic Inference {\&} Generative …, 0
1
Closed-loop Manual Control with Tactile or Visual Feedback under Wireless Link Impairments
S Suman, P Mamidanna, JJ Nielsen, F Chiariotti, Č Stefanović, S Došen, ...
1
The Future of Bionic Limbs: The untapped synergy of signal processing, control, and wireless connectivity
F Chiariotti, P Mamidanna, S Suman, Č Stefanović, D Farina, P Popovski, ...
IEEE Signal Processing Magazine 41 (4), 58-75, 2024
2024
HarmonICA: Neural non-stationarity correction and source separation for motor neuron interfaces
AK Clarke, A Grison, IM Guerra, P Mamidanna, S Ma, S Muceli, D Farina
arXiv preprint arXiv:2406.19581, 2024
2024
Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffs
P Mamidanna, S Gholinezhad, D Farina, JL Dideriksen, S Dosen
Journal of Neural Engineering 21 (2), 026008, 2024
2024
Investigating motor skill in closed-loop myoelectric hand prostheses: Through speed-accuracy trade-offs
P Mamidanna
2023
Skill Acquisition in Prosthesis Force Control with Supplementary EMG Feedback
P Mamidanna, S Gholinezhad, J Dideriksen, S Dosen
Myoelectric Controls Symposium, 2022
2022
Optimizing Neural Source Extraction Algorithms: A Performance Measure Based on Neuronal Network Properties
P Mamidanna
2017
EMG feedback for improved control of myoelectric hand prostheses
S Dosen, P Mamidanna, J Tchimino, F Gasparic, N Jorgovanovic
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Articles 1–15