Browsing by Author "Carlson, David"
Now showing items 1-5 of 5
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AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models
(NeurIPS Workshop on Learning Meaningful Representations of Life, 2021) -
Neuroprosthetic Decoder Training as Imitation Learning.
(PLoS Comput Biol, 2018-02-02)Neuroprosthetic brain-computer interfaces function via an algorithm which decodes neural activity of the user into movements of an end effector, such as a cursor or robotic arm. In practice, the decoder is often learned ... -
Stochastic Inference and Bayesian Nonparametric Models in Electrophysiological Time Series
(2015)This thesis presents novel methods for processing electrophysiological time-series from simultaneously recorded electrodes in a brain, as well as providing new inference techniques that are more generally applicable. On ... -
Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity.
(CoRR, 2020)Factor models are routinely used for dimensionality reduction in modeling of correlated, high-dimensional data. We are particularly motivated by neuroscience applications collecting high-dimensional `predictors' corresponding ... -
The Application of Ocean Zoning Management for Offshore Energy Development in North Carolina
(2009-04-23)The concept of spatial planning, or zoning, is widely applied for regulating land use activities. This project assesses the potential for using ocean zoning as a management tool in North Carolina. In particular, this project ...
