PhD, University of Florida
I. Memming Park (박일) received a B.S. in computer science from KAIST in 2005. He received an M.S. in electrical and computer engineering in 2007 and a Ph.D. in biomedical engineering in 2010 from the University of Florida working with José C. Principe. He was a postdoctoral fellow (2010-2014) at the University of Texas at Austin working with Jonathan Pillow, before he joined the faculty of neurobiology and behavior at Stony Brook University in 2015.
I am interested in how information is encoded as spatiotemporal patterns of neural activity, and how information is processed to perform specific computations within and across brain areas. For instance, I analyze how visual motion is represented by visual cortices, and how it is subsequently integrated over time to form decisions that are represented in higher order cortices. I collaborate with experimental neurophysiologists who record neural activities, and I model their data to find structures hidden in noisy observations; structures within the signals themselves, and to relate neural activity with external stimulus and behavior.
You may visit my blog for more info @ http://memming.wordpress.com
- Laboratory Personnel
- Il Memming Park, Miriam L. R. Meister, Alexander C. Huk, Jonathan W. Pillow. Encoding and decoding in parietal cortex during sensorimotor decision-making. Nature Neuroscience 17, 1395–1403, 2014
- Evan Archer*, Il Memming Park*, Jonathan Pillow. Bayesian Entropy Estimation for Countable Discrete Distributions. Journal of Machine Learning Research (JMLR) 15, 2833−2868, Oct 2014 (* equal contribution)
- Il Memming Park, Yuriy V. Bobkov, Barry W. Ache, José C. Príncipe. Intermittency coding in the primary olfactory system: A neural substrate for olfactory scene analysis. The Journal of Neuroscience 34(3): 941-952, January 15 2014
- Il Memming Park, Sohan Seth, António R. C. Paiva, Lin Li, José C. Príncipe. Kernel methods on spike train space for neuroscience: a tutorial. IEEE Signal Processing Magazine, July 2013
- Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe. Strictly Positive Definite Spike Train Kernels for Point Process Divergences. Neural Computation Volume 24, Issue 8, August 2012
- Il Memming Park*, Evan Archer*, Nicholas Priebe, Jonathan Pillow. Spectral methods for neural characterization using generalized quadratic models. Neural Information Processing Systems (NIPS) 2013
- Il Memming Park, Evan Archer, Kenneth Latimer, Jonathan Pillow. Universal models for binary spike patterns using centered Dirichlet processes. Neural Information Processing Systems (NIPS) 2013
- PubMed Link