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Amy L. Orsborn
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2020 – today
- 2022
- [c10]Tomohiro Ouchi, Amy L. Orsborn:
Quantifying the influence of stimulation protocols on neural network connectivity inference to optimize rapid network measurements. EMBC 2022: 2369-2372 - 2021
- [c9]Maneeshika M. Madduri, Samuel A. Burden, Amy L. Orsborn:
A Game-Theoretic Model for Co-Adaptive Brain-Machine Interfaces. NER 2021: 327-330
2010 – 2019
- 2018
- [c8]John S. Choi, Vasily Goncharov, Jessica E. Kleinbart, Amy L. Orsborn
, Bijan Pesaran:
Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey. EMBC 2018: 3013-3016 - [c7]Jessica E. Kleinbart, Amy L. Orsborn
, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, Bijan Pesaran:
A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain. EMBC 2018: 3362-3365 - 2016
- [j5]Maryam M. Shanechi, Amy L. Orsborn
, Jose M. Carmena:
Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering. PLoS Comput. Biol. 12(4) (2016) - [c6]Shaoyu Qiao, Kevin A. Brown, Amy L. Orsborn
, Breonna Ferrentino
, Bijan Pesaran:
Development of semi-chronic microdrive system for large-scale circuit mapping in macaque mesolimbic and basal ganglia systems. EMBC 2016: 5825-5828 - 2015
- [c5]Amy L. Orsborn
, Charles Wang, Ken Chiang, Michel M. Maharbiz, Jonathan Viventi, Bijan Pesaran
:
Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. NER 2015: 398-401 - 2014
- [j4]Siddharth Dangi, Suraj Gowda, Helene G. Moorman, Amy L. Orsborn
, Kelvin So, Maryam Shanechi, Jose M. Carmena:
Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces. Neural Comput. 26(9): 1811-1839 (2014) - [c4]Maryam M. Shanechi, Amy L. Orsborn
, Helene G. Moorman, Suraj Gowda, Jose M. Carmena:
High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder. EMBC 2014: 6493-6496 - [r1]Amy L. Orsborn, Jose M. Carmena:
Functional Neuroscience: Cortical Control of Limb Prosthesis. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j3]Amy L. Orsborn
, Jose M. Carmena:
Creating new functional circuits for action via brain-machine interfaces. Frontiers Comput. Neurosci. 7: 157 (2013) - [j2]Siddharth Dangi, Amy L. Orsborn
, Helene G. Moorman, Jose M. Carmena:
Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces. Neural Comput. 25(7): 1693-1731 (2013) - [c3]Siddharth Dangi, Kelvin So, Amy L. Orsborn
, Michael C. Gastpar, Jose M. Carmena:
Brain-machine interface control using broadband spectral power from local field potentials. EMBC 2013: 285-288 - 2012
- [c2]Suraj Gowda, Amy L. Orsborn
, Jose M. Carmena:
Parameter estimation for maximizing controllability of linear brain-machine interfaces. EMBC 2012: 1314-1317 - 2011
- [c1]Amy L. Orsborn
, Siddharth Dangi, Helene G. Moorman, Jose M. Carmena:
Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces. EMBC 2011: 5436-5439 - 2010
- [j1]Rodolphe Héliot, Amy L. Orsborn
, Karunesh Ganguly, Jose M. Carmena:
System Architecture for Stiffness Control in Brain-Machine Interfaces. IEEE Trans. Syst. Man Cybern. Part A 40(4): 732-742 (2010)
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