Il Memming Park

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jose principeprofessor of ECE, U. of FloridaPreverjeni e-poštni naslov na cnel.ufl.edu
Jonathan PillowProfessor of Neuroscience, Princeton UniversityPreverjeni e-poštni naslov na princeton.edu
Antonio R. PaivaAllstatePreverjeni e-poštni naslov na allstate.com
Yuan ZhaoNational Institute of Mental HealthPreverjeni e-poštni naslov na nih.gov
Evan ArcherResearch Scientist, Sony AIPreverjeni e-poštni naslov na sony.com
Sohan SethLead Data Scientist, University of EdinburghPreverjeni e-poštni naslov na ed.ac.uk
Alex Huk (Alexander C Huk, AC Huk)UCLAPreverjeni e-poštni naslov na ucla.edu
Justin C. SanchezDARPAPreverjeni e-poštni naslov na darpa.mil
Weifeng LiuUniversity of FloridaPreverjeni e-poštni naslov na cnel.ufl.edu
Thomas DeMarseDepartment of Biomedical Engineering, University of FloridaPreverjeni e-poštni naslov na bme.ufl.edu
matthew dowlingstony brook universityPreverjeni e-poštni naslov na stonybrook.edu
Jacob L YatesUC BerkeleyPreverjeni e-poštni naslov na berkeley.edu
Miriam MeisterUniversity of WashingtonPreverjeni e-poštni naslov na uw.edu
Anqi WuAssistant Professor, Computational Science and Engineering, Georgia TechPreverjeni e-poštni naslov na gatech.edu
Matt ReidenbachProfessor & Chair, Environmental Sciences, University of VirginiaPreverjeni e-poštni naslov na virginia.edu
Yiwen WangHong Kong University of Science and TechnologyPreverjeni e-poštni naslov na ust.hk
Jianwu XuPreverjeni e-poštni naslov na alumni.ufl.edu
Scott LindermanStanford UniversityPreverjeni e-poštni naslov na stanford.edu
Joseph T. FrancisProfessor of BME, U. of HoustonPreverjeni e-poštni naslov na central.uh.edu
Lars BuesingGoogle DeepMindPreverjeni e-poštni naslov na google.com

Spremljaj

Il Memming Park

Druga imena박 일, Il Park

Group Leader, Champalimaud Research; Visiting Associate Professor, Stony Brook University

Preverjeni e-poštni naslov na research.fchampalimaud.org - Domača stran

computational neuroscience theoretical neuroscience point process machine learning dynamical


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	321	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	275	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	242	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	185	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	147	2017
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	116	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	116	2009
Bayesian entropy estimation for countable discrete distributions E Archer, IM Park, JW Pillow The Journal of Machine Learning Research 15 (1), 2833-2868, 2014	115	2014
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	91	2021
A comparison of binless spike train measures ARC Paiva, I Park, JC Príncipe Neural computing & applications 19 (3), 405-419, 2010	89	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	89	2008
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	87	2018
Bayesian Spike-Triggered Covariance Analysis IM Park, JW Pillow Advances in neural information processing systems (NIPS), 2011	87	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	86	2009
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	81	2013
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	77	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	64	2019
Bayesian efficient coding IM Park, JW Pillow BioRxiv, 178418, 2017	61	2017
Metastable dynamics of neural circuits and networks BAW Brinkman, H Yan, A Maffei, IM Park, A Fontanini, J Wang, ... Applied Physics Reviews 9 (1), 2022	54	2022
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

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