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Memming Park

 

Assistant Professor
PhD, University of Florida

Phone: (631) 632-3468 - office
Fax: (631) 632-6661
Email: memming.park@stonybrook.edu
Website: http://catniplab.github.io

Life Sciences Building
Office: Room 550A
 


Training

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.

Research Interests/Expertise

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.
  • Publications
  • Laboratory Personnel
    • Esfahany, K., Siergiej, I., Zhao, Y. and Park, I.M. Organization of neural population code in mouse visual system. eNeuro 0414-17, 2018
    • Kirschen, G.W., Ge, S. and Park, I.M. Probability of viral labeling of neural stem cells in vivo. Neuroscience Letters, 2018
    • Yates, J.L., Park, I.M., Katz, L.N., Pillow, J.W. and Huk, A.C. Functional dissection of signal and noise in MT and LIP during decision-making. Nature Neuroscience 20, pp. 1285-–1292, 2017
    • Zhao, Y. and Park, I.M. Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains. Neural Computation 29(5) 2017
    • Zhao, Y. and Park, I.M. Interpretable Nonlinear Dynamic Modeling of Neural Trajectories. Advances in Neural Information Processing Systems (NIPS) 2016 
    • I. M. Park, M. L. R. Meister, A. C. Huk, J. W. Pillow. Encoding and decoding in parietal cortex during sensorimotor decision-making. Nature Neuroscience 17, 1395–1403, 2014
    • I. M. Park, Y. V. Bobkov, B. W. Ache, J. 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
    • up to date info
    • PubMed Link
    • Yuan Zhao, postdoc
    • Sima Mofakham, postdoc
    • Piotr Sokol, phd student
    • Josue Nassar, phd student
    • Ian Jordan, phd student
    • Logan Becker, masters student
    • up to date info