Il (Memming) Park
Memming (PhD, University of Florida) joined The Center for Perceptual Systems as a postdoctoral fellow in August 2010. He works with Jonathan Pillow in the Neural Coding and Computation Lab. He is a computational neuroscientist trained in statistical signal processing, information theory, and machine learning (especially for spike trains). His main interests are focused on point process based analysis of spike trains from sensory, motor, as well as decision and learning process. He designs spike train kernels and associated machine learning algorithms for the analysis of neural code, and statistical test. Currently he is working on encoding/decoding analysis of spike trains from monkey lateral intraparietal neurons in collaboration with Alex Huk.
Il Memming Park, Sohan Seth, José C. Príncipe. Spike Train Kernel
Methods for Neuroscience. Joint Statistical Meeting 2011.
Il Memming Park, Jonathan Pillow, Miriam Meister, Alexander Huk.
Detailed encoding and decoding of choice-related information from LIP
spike trains. COSYNE 2011.
Weifeng Liu, Il Park, José C. Príncipe. An Information Theoretic
Approach of Designing Sparse Kernel Adaptive Filters, IEEE
Transactions on Neural Network, Volume 20, Issue 12, Dec. 2009,
António R. C. Paiva, Il Park, José C. Príncipe. A Reproducing Kernel
Hilbert Space framework for Spike Trains, Neural Computation, Volume
21, Number 2, February 2009, 424-449.