Il Memming Park, Ph.D.
Affiliations: | Center for Perceptual Systems | Stony Brook University, Stony Brook, NY, United States |
Area:
Computational Neuroscience, spike train, point process, computational methods, decision, olfactionWebsite:
http://catniplab.github.ioGoogle:
"Memming"Bio:
https://scholar.google.com/citations?user=CsmltusAAAAJ
Mean distance: 15.99 (cluster 51) | S | N | B | C | P |
Parents
Sign in to add mentorJose Carlos Principe | grad student | 2005-2010 | University of Florida |
Jonathan W. Pillow | post-doc | 2010- | UT Austin |
Children
Sign in to add traineeJosue Nassar | grad student | SUNY Stony Brook | |
Logan Becker | grad student | 2017- | SUNY Stony Brook |
Piotr Sokol | grad student | 2017- | SUNY Stony Brook |
Ian Jordan | grad student | 2018- | SUNY Stony Brook |
Yuan Zhao | grad student | 2015-2016 | SUNY Stony Brook |
David Lance Hocker | post-doc | 2016- | SUNY Stony Brook (Chemistry Tree) |
Sima Mofakham | post-doc | 2018- | SUNY Stony Brook |
Collaborators
Sign in to add collaboratorYuriy Bobkov | collaborator | 2008- | University of Florida |
Alex C. Huk | collaborator | 2010- | UT Austin |
Jacob Yates | collaborator | 2011- | UT Austin |
Alfredo Fontanini | collaborator | 2016- | SUNY Stony Brook |
Charles Mikell III | collaborator | 2016- | SUNY Stony Brook |
Thomas DeMarse | collaborator | 2005-2009 | University of Florida |
Murali Rao | collaborator | 2007-2010 | University of Florida (MathTree) |
BETA: Related publications
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Publications
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Park IM, Meister ML, Huk AC, et al. (2014) Encoding and decoding in parietal cortex during sensorimotor decision-making. Nature Neuroscience. 17: 1395-403 |
Park IM, Bobkov YV, Ache BW, et al. (2014) Intermittency coding in the primary olfactory system: a neural substrate for olfactory scene analysis. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 941-52 |
Park IM, Seth S, Van Vaerenbergh S. (2014) Probabilistic kernel least mean squares algorithms Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 8272-8276 |
Archer E, Park IM, Pillow JW. (2014) Bayesian entropy estimation for countable discrete distributions Journal of Machine Learning Research. 15: 2833-2868 |
Li L, Park IM, Brockmeier A, et al. (2013) Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 21: 532-43 |
Archer E, Park IM, Pillow JW. (2013) Bayesian and quasi-Bayesian estimators for mutual information from discrete data Entropy. 15: 1738-1755 |
Park IM, Seth S, Paiva ARC, et al. (2013) Kernel methods on spike train space for neuroscience: A tutorial Ieee Signal Processing Magazine. 30: 149-160 |
Park IM, Archer E, Priebe N, et al. (2013) Spectral methods for neural characterization using generalized quadratic models Advances in Neural Information Processing Systems |
Park IM, Archer E, Latimer K, et al. (2013) Universal models for binary spike patterns using centered Dirichlet processes Advances in Neural Information Processing Systems |
Archer E, Park IM, Pillow JW. (2013) Bayesian entropy estimation for binary spike train data using parametric prior knowledge Advances in Neural Information Processing Systems |