Lee E. Miller - researchr alias

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Viewing Publication 1 - 20 from 20

2025

A Customizable Fitting Protocol for the Body-Machine InterfaceFiona A. Neylon, Andrew Thompson 0011, Rachel Kalvakota, Corinne Fischer, Fabio Rizzoglio, Lee E. Miller, Brenna D. Argall. icorr 2025: 1548-1555 [doi]

2024

Biomechanical Arm and Hand Tracking with Multiview Markerless Motion CapturePouyan Firouzabadi, Wendy Murray, Anton R. Sobinov, J. D. Peiffer, Kunal Shah, Lee E. Miller, R. James Cotton. biorob 2024: 1641-1648 [doi]

Predicting proprioceptive cortical anatomy and neural coding with topographic autoencodersMax Grogan, Kyle P. Blum, Yufei Wu, John Alexander Harston, Lee E. Miller, A. Aldo Faisal. ploscb, 20(12):1012614, 2024. [doi]

2022

Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptationJustin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig. icml 2022: 10462-10475 [doi]

Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensemblesJustin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig. neurreps 2022: 234-257 [doi]

2021

Estimating the dimensionality of the manifold underlying multi-electrode neural recordingsEge Altan, Sara A. Solla, Lee E. Miller, Eric J. Perreault. ploscb, 17(11), 2021. [doi]

Targeted Neural Dynamical ModelingCole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig. nips 2021: 29379-29392 [doi]

Population Activity in Motor Cortex is Influenced by the Contexts of the Motor BehaviorXuan Ma, Kevin L. Bodkin, Lee E. Miller. ner 2021: 1152-1155 [doi]

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activityFelix Pei, Joel Ye, David M. Zoltowski, Anqi Wu, Raeed H. Chowdhury, Hansem Sohn, Joseph E. O'Doherty, Krishna V. Shenoy, Matthew T. Kaufman, Mark M. Churchland, Mehrdad Jazayeri, Lee E. Miller, Jonathan W. Pillow, Il Memming Park, Eva L. Dyer, Chethan Pandarinath. nips 2021: [doi]

2019

Adversarial Domain Adaptation for Stable Brain-Machine InterfacesAli Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla. iclr 2019: [doi]

2018

Modern Machine Learning as a Benchmark for Fitting Neural ResponsesAri S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Körding. ficn, 2018:56, 2018. [doi]

Linear-nonlinear-time-warp-poisson models of neural activityPatrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding. jcns, 45(3):173-191, 2018. [doi]

2015

Development of an afferent neural interface designed to mimic natural proprioceptionLee E. Miller. haptics 2015: [doi]

2012

2011

Designing stimulation patterns for an afferent BMI: Representation of kinetics in somatosensory cortexBrian M. London, Ricardo Ruiz-Torres, Marc W. Slutzky, Lee E. Miller. embc 2011: 7521-7524 [doi]

Continuous movement decoding using a target-dependent model with EMG inputsNicholas A. Sachs, Elaine A. Corbett, Lee E. Miller, Eric J. Perreault. embc 2011: 5432-5435 [doi]

2006

Neural EngineeringFerdinando A. Mussa-Ivaldi, Lee E. Miller, W. Zev Rymer, Richard F. Weir. In Raja Parasuraman, Matthew Rizzo, editors, Neuroergonomics - the brain at work. Oxford series in human technology interaction, pages 293-312, Oxford University Press, 2006. [doi]

Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical ElectrodesDavid T. Westwick, Eric A. Pohlmeyer, Sara A. Solla, Lee E. Miller, Eric J. Perreault. neco, 18(2):329-355, 2006. [doi]

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