Il Memming Park
TitleCited byYear
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
1742009
Extended kernel recursive least squares algorithm
W Liu, I Park, Y Wang, JC Príncipe
Signal Processing, IEEE Transactions on 57 (10), 3801-3814, 2009
1612009
Encoding and decoding in parietal cortex during sensorimotor decision-making
IM Park, MLR Meister, AC Huk, JW Pillow
Nature neuroscience 17 (10), 1395, 2014
1232014
Black box variational inference for state space models
E Archer, IM Park, L Buesing, J Cunningham, L Paninski
arXiv preprint arXiv:1511.07367, 2015
802015
A reproducing kernel hilbert space framework for spike train signal processing
ARC Paiva, I Park, JC Príncipe
Neural computation 21 (2), 424-449, 2009
772009
A comparison of binless spike train measures
ARC Paiva, I Park, JC Príncipe
Neural computing & applications 19 (3), 405-419, 2010
732010
Bayesian Spike-Triggered Covariance Analysis
IM Park, JW Pillow
Advances in neural information processing systems (NIPS), 2011
612011
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
532008
Spectral methods for neural characterization using generalized quadratic models
IM Park, EW Archer, N Priebe, JW Pillow
Advances in neural information processing systems, 2454-2462, 2013
462013
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, 2017
452017
Variational latent gaussian process for recovering single-trial dynamics from population spike trains
Y Zhao, IM Park
Neural computation 29 (5), 1293-1316, 2017
452017
Bayesian entropy estimation for countable discrete distributions
E Archer, IM Park, JW Pillow
The Journal of Machine Learning Research 15 (1), 2833-2868, 2014
452014
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
442009
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
322013
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
262012
A unified framework for quadratic measures of independence
S Seth, M Rao, I Park, JC Principe
Signal Processing, IEEE Transactions on, 1-1, 2011
222011
Strictly positive-definite spike train kernels for point-process divergences
IM Park, S Seth, M Rao, JC Principe
Neural Computation 24 (8), 2223-2250, 2012
212012
Intermittency coding in the primary olfactory system: a neural substrate for olfactory scene analysis
IM Park, YV Bobkov, BW Ache, JC Príncipe
Journal of Neuroscience 34 (3), 941-952, 2014
192014
Correntropy based Granger causality
I Park, JC Principe
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
192008
Interpretable nonlinear dynamic modeling of neural trajectories
Y Zhao, IM Park
Advances in neural information processing systems, 3333-3341, 2016
182016
The system can't perform the operation now. Try again later.
Articles 1–20