Lee E. Miller

26 papers A* 3Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
A Customizable Fitting Protocol for the Body-Machine Interface.
ICORR
Fiona A. Neylon, Andrew Thompson, Rachel Kalvakota, Corinne Fischer, Fabio Rizzoglio, Lee E. Miller, Brenna D. Argall
2024 — conf
An Evolution of Assistive Robot Control to Meet End-User Ability.
HRI (Companion)
Andrew Thompson, Fabio Rizzoglio, Fiona A. Neylon, Demiana R. Barsoum, Lucy E. Ammon, Maximus N. Mccune, Lee E. Miller, Brenna Argall
2024 — conf
Biomechanical Arm and Hand Tracking with Multiview Markerless Motion Capture.
BioRob
Pouyan Firouzabadi, Wendy Murray, Anton R. Sobinov, J. D. Peiffer, Kunal Shah, Lee E. Miller, R. James Cotton
2024 A* conf
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark.
NeurIPS
Brianna Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clayton Washington, Thiago Scodeler, Diogo de Lucena, Samuel R. Nason-Tomaszewski, Matthew Mender, Xuan Ma, Ezequiel M. Arneodo, Leigh R. Hochberg, Cynthia A. Chestek, Jaimie M. Henderson, Timothy Gentner, Vikash Gilja, Lee E. Miller, Adam Rouse, Robert Gaunt, Jennifer L. Collinger, Chethan Pandarinath
2024 J jnl
Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders.
PLoS Comput. Biol.
Max Grogan, Kyle P. Blum, Yufei Wu, John Alexander Harston, Lee E. Miller, A. Aldo Faisal
2022 — conf
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles.
NeurReps
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022 J jnl
Capturing cross-session neural population variability through self-supervised identification of consistent neuron ensembles.
CoRR
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022 A* conf
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation.
ICML
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2022 J jnl
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation.
CoRR
Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2021 J jnl
Estimating the dimensionality of the manifold underlying multi-electrode neural recordings.
PLoS Comput. Biol.
Ege Altan, Sara A. Solla, Lee E. Miller, Eric J. Perreault
2021 — conf
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity.
NeurIPS Datasets and Benchmarks
Felix 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
2021 J jnl
Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity.
CoRR
Felix 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
2021 — conf
Population Activity in Motor Cortex is Influenced by the Contexts of the Motor Behavior.
NER
Xuan Ma, Kevin L. Bodkin, Lee E. Miller
2021 A* conf
Targeted Neural Dynamical Modeling.
NeurIPS
Cole L. Hurwitz, Akash Srivastava, Kai Xu, Justin Jude, Matthew G. Perich, Lee E. Miller, Matthias H. Hennig
2019 — conf
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces.
ICLR (Poster)
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
2018 J jnl
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces.
CoRR
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
2018 J jnl
Linear-nonlinear-time-warp-poisson models of neural activity.
J. Comput. Neurosci.
Patrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
2018 J jnl
Modern Machine Learning as a Benchmark for Fitting Neural Responses.
Frontiers Comput. Neurosci.
Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Körding
2017 J jnl
Machine learning for neural decoding.
CoRR
Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding
2015 — conf
Development of an afferent neural interface designed to mimic natural proprioception.
World Haptics
Lee E. Miller
2012 J jnl
EMG Prediction From Motor Cortical Recordings via a Nonnegative Point-Process Filter.
IEEE Trans. Biomed. Eng.
Kianoush Nazarpour, Christian Ethier, Liam Paninski, James M. Rebesco, R. Chris Miall, Lee E. Miller
2012 J jnl
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons.
PLoS Comput. Biol.
Ian H. Stevenson, Brian M. London, Emily R. Oby, Nicholas A. Sachs, Jacob Reimer, Bernhard Englitz, Stephen V. David, Shihab A. Shamma, Timothy J. Blanche, Kenji Mizuseki, Amin Zandvakili, Nicholas G. Hatsopoulos, Lee E. Miller, Konrad P. Körding
2011 — conf
Continuous movement decoding using a target-dependent model with EMG inputs.
EMBC
Nicholas A. Sachs, Elaine A. Corbett, Lee E. Miller, Eric J. Perreault
2011 — conf
Designing stimulation patterns for an afferent BMI: Representation of kinetics in somatosensory cortex.
EMBC
Brian M. London, Ricardo Ruiz Torres, Marc W. Slutzky, Lee E. Miller
2006 J jnl
Identification of Multiple-Input Systems with Highly Coupled Inputs: Application to EMG Prediction from Multiple Intracortical Electrodes.
Neural Comput.
David T. Westwick, Eric A. Pohlmeyer, Sara A. Solla, Lee E. Miller, Eric J. Perreault
2006 — ch.
Neural Engineering.
Neuroergonomics
Ferdinando A. Mussa-Ivaldi, Lee E. Miller, W. Zev Rymer, Richard F. Weir