System Architecture for Stiffness Control in Brain-Machine Interfaces. - Rodolphe Héliot; Amy L. Orsborn; Karunesh Ganguly; Jose M. Carmena (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Exploring time-scales of closed-loop decoder adaptation in brain-machine interfaces. - Amy L. Orsborn; Siddharth Dangi; Helene G. Moorman; Jose M. Carmena (EMBC, 2011)

Parameter estimation for maximizing controllability of linear brain-machine interfaces. - Suraj Gowda; Amy L. Orsborn; Jose M. Carmena (EMBC, 2012)

Brain-machine interface control using broadband spectral power from local field potentials. - Siddharth Dangi; Kelvin So; Amy L. Orsborn; Michael C. Gastpar; Jose M. Carmena (EMBC, 2013)

Creating new functional circuits for action via brain-machine interfaces. - Amy L. Orsborn; Jose M. Carmena (Frontiers Comput. Neurosci., 2013)

Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces. - Siddharth Dangi; Amy L. Orsborn; Helene G. Moorman; Jose M. Carmena (Neural Comput., 2013)

High-performance brain-machine interface enabled by an adaptive optimal feedback-controlled point process decoder. - Maryam M. Shanechi; Amy L. Orsborn; Helene G. Moorman; Suraj Gowda; Jose M. Carmena (EMBC, 2014)

Continuous Closed-Loop Decoder Adaptation with a Recursive Maximum Likelihood Algorithm Allows for Rapid Performance Acquisition in Brain-Machine Interfaces. - Siddharth Dangi; Suraj Gowda; Helene G. Moorman; Amy L. Orsborn; Kelvin So; Maryam Shanechi; Jose M. Carmena (Neural Comput., 2014)

Functional Neuroscience: Cortical Control of Limb Prosthesis. - Amy L. Orsborn; Jose M. Carmena (Encyclopedia of Computational Neuroscience, 2014)

Semi-chronic chamber system for simultaneous subdural electrocorticography, local field potentials, and spike recordings. - Amy L. Orsborn; Charles Wang; Ken Chiang; Michel M. Maharbiz; Jonathan Viventi; Bijan Pesaran (NER, 2015)

Development of semi-chronic microdrive system for large-scale circuit mapping in macaque mesolimbic and basal ganglia systems. - Shaoyu Qiao; Kevin A. Brown; Amy L. Orsborn; Breonna Ferrentino; Bijan Pesaran (EMBC, 2016)

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering. - Maryam M. Shanechi; Amy L. Orsborn; Jose M. Carmena (PLoS Comput. Biol., 2016)

Monkey-MIMMS: Towards Automated Cellular Resolution Large- Scale Two-Photon Microscopy In The Awake Macaque Monkey. - John S. Choi; Vasily Goncharov; Jessica E. Kleinbart; Amy L. Orsborn; Bijan Pesaran (EMBC, 2018)

A Modular Implant System for Multimodal Recording and Manipulation of the Primate Brain. - Jessica E. Kleinbart; Amy L. Orsborn; John S. Choi; Charles Wang; Shaoyu Qiao; Jonathan Viventi; Bijan Pesaran (EMBC, 2018)

A Game-Theoretic Model for Co-Adaptive Brain-Machine Interfaces. - Maneeshika M. Madduri; Samuel A. Burden; Amy L. Orsborn (NER, 2021)

Quantifying the influence of stimulation protocols on neural network connectivity inference to optimize rapid network measurements. - Tomohiro Ouchi; Amy L. Orsborn (EMBC, 2022)

AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity. - Jingyuan Li; Leo Scholl; Trung Le 002; Pavithra Rajeswaran; Amy L. Orsborn; Eli Shlizerman (NeurIPS, 2023)

Dataset for monkeys A and B from AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity. - Jingyuan Li; Leo Scholl; Trung Le 002; Pavithra Rajeswaran; Amy L. Orsborn; Eli Shlizerman (Zenodo, 2023)

SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding. - Trung Le 002; Hao Fang; Jingyuan Li; Tung Nguyen; Lu Mi; Amy L. Orsborn; Uygar Sümbül; Eli Shlizerman (CoRR, 2025)