Il Memming Park

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jose principeprofessor of ECE, U. of FloridaVerified email at cnel.ufl.edu
Jonathan PillowProfessor of Neuroscience, Princeton UniversityVerified email at princeton.edu
Antonio R. PaivaAllstateVerified email at allstate.com
Yuan ZhaoNational Institute of Mental HealthVerified email at nih.gov
Evan ArcherResearch Scientist, Sony AIVerified email at sony.com
Sohan SethLead Data Scientist, University of EdinburghVerified email at ed.ac.uk
Alex Huk (Alexander C Huk, AC Huk)UCLAVerified email at ucla.edu
Justin C. SanchezDARPAVerified email at darpa.mil
Jacob L YatesUC BerkeleyVerified email at berkeley.edu
Thomas DeMarseDepartment of Biomedical Engineering, University of FloridaVerified email at bme.ufl.edu
Weifeng LiuUniversity of FloridaVerified email at cnel.ufl.edu
Miriam MeisterUniversity of WashingtonVerified email at uw.edu
Leor KatzNational Institutes of HealthVerified email at nih.gov
Yiwen WangHong Kong University of Science and TechnologyVerified email at ust.hk
Joseph T. FrancisProfessor of BME, U. of HoustonVerified email at central.uh.edu
Jianwu XuVerified email at alumni.ufl.edu
Aaron J LeviThe University of Texas at AustinVerified email at utexas.edu
Austin J. BrockmeierUniversity of DelawareVerified email at udel.edu
Lars BuesingGoogle DeepMindVerified email at google.com
John CunninghamProfessor, Columbia UniversityVerified email at columbia.edu

Il Memming Park

Other names박 일

Group Leader, Champalimaud Research

Verified email at research.fchampalimaud.org - Homepage

computational neuroscience theoretical neuroscience point process machine learning dynamical systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	273	2014
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	250	2009
Extended kernel recursive least squares algorithm W Liu, I Park, Y Wang, JC Príncipe Signal Processing, IEEE Transactions on 57 (10), 3801-3814, 2009	222	2009
Black box variational inference for state space models E Archer, IM Park, L Buesing, J Cunningham, L Paninski arXiv preprint arXiv:1511.07367, 2015	161	2015
Variational latent gaussian process for recovering single-trial dynamics from population spike trains Y Zhao, IM Park Neural computation 29 (5), 1293-1316, 2017	120	2017
A reproducing kernel hilbert space framework for spike train signal processing ARC Paiva, I Park, JC Príncipe Neural computation 21 (2), 424-449, 2009	110	2009
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	103	2017
Bayesian entropy estimation for countable discrete distributions E Archer, IM Park, JW Pillow The Journal of Machine Learning Research 15 (1), 2833-2868, 2014	100	2014
A comparison of binless spike train measures ARC Paiva, I Park, JC Príncipe Neural computing & applications 19 (3), 405-419, 2010	86	2010
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	84	2008
Bayesian Spike-Triggered Covariance Analysis IM Park, JW Pillow Advances in neural information processing systems (NIPS), 2011	81	2011
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	71	2009
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	67	2018
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	66	2013
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	66	2013
Bayesian efficient coding IM Park, JW Pillow BioRxiv, 178418, 2017	53	2017
Bayesian and quasi-Bayesian estimators for mutual information from discrete data E Archer, IM Park, JW Pillow Entropy 15 (5), 1738-1755, 2013	53	2013
Gated recurrent units viewed through the lens of continuous time dynamical systems ID Jordan, PA Sokol, IM Park arXiv preprint arXiv:1906.01005, 2019	48	2019
Neural Latents Benchmark'21: evaluating latent variable models of neural population activity F Pei, J Ye, D Zoltowski, A Wu, RH Chowdhury, H Sohn, JE O'Doherty, ... arXiv preprint arXiv:2109.04463, 2021	47	2021
Interpretable nonlinear dynamic modeling of neural trajectories Y Zhao, IM Park Advances in neural information processing systems 29, 2016	42	2016

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