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, olfaction
Website:
http://catniplab.github.io
Google:
"Memming"
Bio:

https://scholar.google.com/citations?user=CsmltusAAAAJ

Mean distance: 15.99 (cluster 51)
 
SNBCP

Parents

Sign in to add mentor
Jose Carlos Principe grad student 2005-2010 University of Florida
 (Capturing spike train similarity structure: A point process divergence approach.)
Jonathan W. Pillow post-doc 2010-2014 UT Austin

Children

Sign in to add trainee
Diego Arribas research assistant 2020- SUNY Stony Brook
Piotr Sokol grad student 2017- SUNY Stony Brook
Ian Jordan grad student 2018- SUNY Stony Brook
Josue Nassar grad student 2018- SUNY Stony Brook
Matthew Dowling grad student 2019- SUNY Stony Brook
Ayesha Vermani grad student 2019- SUNY Stony Brook
Yuan Zhao grad student 2015-2016 SUNY Stony Brook
Logan Becker grad student 2017-2020 SUNY Stony Brook
Yuan Zhao post-doc 2016- SUNY Stony Brook
David Lance Hocker post-doc 2016-2017 SUNY Stony Brook (Chemistry Tree)
Sima Mofakham post-doc 2018-2019 SUNY Stony Brook

Collaborators

Sign in to add collaborator
Yuriy 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 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

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Zhao Y, Yates JL, Levi AJ, et al. (2020) Stimulus-choice (mis)alignment in primate area MT. Plos Computational Biology. 16: e1007614
Michaelis BT, Leathers KW, Bobkov YV, et al. (2020) Odor tracking in aquatic organisms: the importance of temporal and spatial intermittency of the turbulent plume. Scientific Reports. 10: 7961
Esfahany K, Siergiej I, Zhao Y, et al. (2018) Organization of Neural Population Code in Mouse Visual System. Eneuro. 5
Kirschen GW, Ge S, Park IM. (2018) Probability of Viral Labeling of Neural Stem Cells In Vivo. Neuroscience Letters
Yates JL, Park IM, Katz LN, et al. (2017) Functional dissection of signal and noise in MT and LIP during decision-making. Nature Neuroscience
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
See more...