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Il Memming Park
Researcher at Stony Brook University
Publications - 93
Citations - 2619
Il Memming Park is an academic researcher from Stony Brook University. The author has contributed to research in topics: Spike train & Spike (software development). The author has an hindex of 26, co-authored 93 publications receiving 2182 citations. Previous affiliations of Il Memming Park include Whitney Laboratory for Marine Bioscience & University of Florida.
Papers
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Encoding and decoding in parietal cortex during sensorimotor decision-making
TL;DR: This work examined the neural code in LIP at the level of individual spike trains using a statistical approach based on generalized linear models and derived an optimal decoder for heterogeneous, multiplexed LIP responses that could be implemented in biologically plausible circuits.
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An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters
TL;DR: A systematic sparsification scheme is proposed, which can drastically reduce the time and space complexity without harming the performance of kernel adaptive filters.
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Extended Kernel Recursive Least Squares Algorithm
TL;DR: A kernelized version of the extended recursive least squares (EX-KRLS) algorithm which implements for the first time a general linear state model in reproducing kernel Hilbert spaces (RKHS) which only requires inner product operations between input vectors, thus enabling the application of the kernel property.
Posted Content
Black box variational inference for state space models
TL;DR: A structured Gaussian variational approximate posterior is proposed that carries the same intuition as the standard Kalman filter-smoother but permits us to use the same inference approach to approximate the posterior of much more general, nonlinear latent variable generative models.
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Functional dissection of signal and noise in MT and LIP during decision-making
TL;DR: It is found that monkeys based their choices on evidence presented in early epochs of the motion stimulus and that substantial early weighting of motion was present in MT responses and that trial-by-trial variability in LIP did not depend on MT activity.