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Il Memming Park
Il Memming Park
Associate Professor of Neurobiology and Behavior, Stony Brook University
Verified email at stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
An information theoretic approach of designing sparse kernel adaptive filters
W Liu, I Park, JC Príncipe
Neural Networks, IEEE Transactions on 20 (12), 1950-1961, 2009
2292009
Encoding and decoding in parietal cortex during sensorimotor decision-making
IM Park, MLR Meister, AC Huk, JW Pillow
Nature neuroscience 17 (10), 1395-1403, 2014
2222014
Extended kernel recursive least squares algorithm
W Liu, I Park, Y Wang, JC Príncipe
Signal Processing, IEEE Transactions on 57 (10), 3801-3814, 2009
2052009
Black box variational inference for state space models
E Archer, IM Park, L Buesing, J Cunningham, L Paninski
arXiv preprint arXiv:1511.07367, 2015
1292015
A reproducing kernel hilbert space framework for spike train signal processing
ARC Paiva, I Park, JC Príncipe
Neural computation 21 (2), 424-449, 2009
942009
Variational latent gaussian process for recovering single-trial dynamics from population spike trains
Y Zhao, IM Park
Neural computation 29 (5), 1293-1316, 2017
922017
Bayesian entropy estimation for countable discrete distributions
E Archer, IM Park, JW Pillow
The Journal of Machine Learning Research 15 (1), 2833-2868, 2014
822014
A comparison of binless spike train measures
ARC Paiva, I Park, JC Príncipe
Neural computing & applications 19 (3), 405-419, 2010
812010
Functional dissection of signal and noise in MT and LIP during decision-making
JL Yates, IM Park, LN Katz, JW Pillow, AC Huk
Nature neuroscience 20 (9), 1285-1292, 2017
802017
Bayesian Spike-Triggered Covariance Analysis
IM Park, JW Pillow
Advances in neural information processing systems (NIPS), 2011
772011
A reproducing kernel Hilbert space framework for information-theoretic learning
JW Xu, ARC Paiva, I Park, JC Principe
Signal Processing, IEEE Transactions on 56 (12), 5891-5902, 2008
712008
Spectral methods for neural characterization using generalized quadratic models
IM Park, EW Archer, N Priebe, JW Pillow
Advances in neural information processing systems 26, 2013
602013
Liquid state machines and cultured cortical networks: The separation property
KP Dockendorf, I Park, P He, JC Príncipe, TB DeMarse
Biosystems 95 (2), 90-97, 2009
602009
Kernel methods on spike train space for neuroscience: a tutorial
IM Park, S Seth, ARC Paiva, L Li, JC Principe
IEEE Signal Processing Magazine 30 (4), 149-160, 2013
472013
Tree-structured recurrent switching linear dynamical systems for multi-scale modeling
J Nassar, S Linderman, M Bugallo, IM Park
International Conference on Learning Representation (ICLR) 2019, 2018
452018
Bayesian efficient coding
IM Park, JW Pillow
BioRxiv, 178418, 2020
432020
Bayesian and quasi-Bayesian estimators for mutual information from discrete data
E Archer, IM Park, JW Pillow
Entropy 15 (5), 1738-1755, 2013
372013
Interpretable nonlinear dynamic modeling of neural trajectories
Y Zhao, IM Park
Advances in neural information processing systems 29, 2016
342016
Bayesian entropy estimation for binary spike train data using parametric prior knowledge
EW Archer, IM Park, JW Pillow
Advances in neural information processing systems 26, 2013
292013
Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework
L Li, IM Park, A Brockmeier, B Chen, S Seth, JT Francis, JC Sanchez, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (4 …, 2012
292012
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