Amy L. Orsborn

19 papers A* 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
RPNT: Robust Pre-trained Neural Transformer - A Pathway for Generalized Motor Decoding.
CoRR
Hao Fang, Ryan A. Canfield, Tomohiro Ouchi, Beatrice Macagno, Eli Shlizerman, Amy L. Orsborn
2025 J jnl
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding.
CoRR
Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L. Orsborn, Uygar Sümbül, Eli Shlizerman
2023 A* conf
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity.
NeurIPS
Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L. Orsborn, Eli Shlizerman
2022 — conf
Quantifying the influence of stimulation protocols on neural network connectivity inference to optimize rapid network measurements.
EMBC
Tomohiro Ouchi, Amy L. Orsborn
2021 — conf
A Game-Theoretic Model for Co-Adaptive Brain-Machine Interfaces.
NER
Maneeshika M. Madduri, Samuel A. Burden, Amy L. Orsborn
2018 — conf
A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain.
EMBC
Jessica E. Kleinbart, Amy L. Orsborn, John S. Choi, Charles Wang, Shaoyu Qiao, Jonathan Viventi, Bijan Pesaran
2018 — conf
Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey.
EMBC
John S. Choi, Vasily Goncharov, Jessica E. Kleinbart, Amy L. Orsborn, Bijan Pesaran
2016 — conf
Development of semi-chronic microdrive system for large-scale circuit mapping in macaque mesolimbic and basal ganglia systems.
EMBC
Shaoyu Qiao, Kevin A. Brown, Amy L. Orsborn, Breonna Ferrentino, Bijan Pesaran
2016 J jnl
Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering.
PLoS Comput. Biol.
Maryam M. Shanechi, Amy L. Orsborn, Jose M. Carmena
2015 — conf
Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings.
NER
Amy L. Orsborn, Charles Wang, Ken Chiang, Michel M. Maharbiz, Jonathan Viventi, Bijan Pesaran
2014 J jnl
Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces.
Neural Comput.
Siddharth Dangi, Suraj Gowda, Helene G. Moorman, Amy L. Orsborn, Kelvin So, Maryam Shanechi, Jose M. Carmena
2014 — ch.
Functional Neuroscience: Cortical Control of Limb Prosthesis.
Encyclopedia of Computational Neuroscience
Amy L. Orsborn, Jose M. Carmena
2014 — conf
High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder.
EMBC
Maryam M. Shanechi, Amy L. Orsborn, Helene G. Moorman, Suraj Gowda, Jose M. Carmena
2013 — conf
Brain-machine interface control using broadband spectral power from local field potentials.
EMBC
Siddharth Dangi, Kelvin So, Amy L. Orsborn, Michael C. Gastpar, Jose M. Carmena
2013 J jnl
Creating new functional circuits for action via brain-machine interfaces.
Frontiers Comput. Neurosci.
Amy L. Orsborn, Jose M. Carmena
2013 J jnl
Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces.
Neural Comput.
Siddharth Dangi, Amy L. Orsborn, Helene G. Moorman, Jose M. Carmena
2012 — conf
Parameter estimation for maximizing controllability of linear brain-machine interfaces.
EMBC
Suraj Gowda, Amy L. Orsborn, Jose M. Carmena
2011 — conf
Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces.
EMBC
Amy L. Orsborn, Siddharth Dangi, Helene G. Moorman, Jose M. Carmena
2010 J jnl
System Architecture for Stiffness Control in Brain-Machine Interfaces.
IEEE Trans. Syst. Man Cybern. Part A
Rodolphe Héliot, Amy L. Orsborn, Karunesh Ganguly, Jose M. Carmena