Publications

Journal Publications

1. Lin Li, Il Memming Park, Austin Brockmeier, Sohan Seth, Badong Chen, Joseph Francis, Justin C. Sanchez, and José C. Príncipe. Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns with a Reproducing Kernel Hilbert Space (RKHS) Framework. IEEE Transactions on Neural and Rehabilitation Systems Engineering (in press)
2. Yuriy Bobkov, Il Park, Kirill Ukhanov, José C. Príncipe, Barry W. Ache. Cellular basis for response diversity in the olfactory periphery. PLoS ONE 7(4): e34843 (2012) [blog post]
3. 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 [pdf]
4. Lin Li, Il Memming Park, Sohan Seth, Justin C. Sanchez, José C. Príncipe. Functional Connectivity Dynamics Among Cortical Neurons: A Dependency Analysis, IEEE Transactions on Neural and Rehabilitation Systems Engineering, Volume 20, Issue 1 (2012) [movie]
5. Sohan Seth, Murali Rao, Il Park, José C. Príncipe. A Unified Framework for Quadratic Measures of Independence, IEEE Transactions on Signal Processing, Volume 59, Issue 8, Aug. 2011, 3624-3635. (code)
6. 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, 1950-1961.
7. António R. C. Paiva, Il Park, José C. Príncipe. A Comparison of Binless Spike Train Measures, Neural Computing & Applications. Volume 19, Issue 3 (2010), page 405.
8. Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe. Extended Kernel Recursive Least Squares Algorithm, IEEE Transactions on Signal Processing, Volume 57, Issue 10, Oct. 2009, 3801-3814
9. Karl Dockendorf, Il Park, Ping He, José C. Príncipe, Thomas B. DeMarse. Liquid state machine and Dissociated Cortical Networks: The Separability, Biosystems, Volume 95, Issue 2, February 2009, 90-97
10. Jian-Wu Xu, António R. C. Paiva, Il Park, José C. Príncipe. A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning, IEEE Transactions on Signal Processing, Vol. 56, No. 12. pp. 5891-5902. 2008
11. 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
12. Il Park, António R. C. Paiva, José C. Príncipe, Thomas B. DeMarse. An Efficient Algorithm for Continuous-time Cross Correlogram of Spike Trains, Journal of Neuroscience Methods, Volume 168, Issue 2, 15 March 2008, 514-523

Conference Publications (papers)

1. Il Memming Park, Jonathan W. Pillow. Bayesian Spike Triggered Covariance. Neural Information Processing Systems (NIPS) 2011 (21.8% acceptance rate) [blog post][pdf][supplement]
2. Lin Li, Il Memming Park, Sohan Seth, John Choi, Joseph T. Francis, Justin C. Sanchez, José C. Príncipe. An adaptive decoder from spike trains to micro-stimulationusing kernel least-mean-square (KLMS) algorithm. IEEE Machine learning for Signal Processing (MLSP) 2011
3. Il Park, Sohan Seth, Murali Rao, José C. Príncipe. Estimation of symmetric chi-square divergence for point processes. IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP) 2011 (presentation) [pdf]
4. Sohan Seth, Il Park, Austin J. Brockmeier, Mulugeta Semework, John Choi, Joe Francis, José C. Príncipe. A Novel Family of Non-Parametric Cumulative based Divergences for Point Processes. Neural Information Processing Systems (NIPS) 2010 [blog post][pdf]
5. Austin J. Brockmeier, Il Park, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe. Spatio-Temporal Clustering of Firing Rates for Neural State Estimation, IEEE International EMBS Conference, 2010
6. Lin Li, Sohan Seth, Il Park, Justin C. Sanchez, José C. Príncipe. Neuronal Functional Connectivity Dynamics in Cortex: An MSC-based Analysis, IEEE International EMBS Conference, 2010
7. Il Park, José C. Príncipe. Quantification of Inter-trial Non-stationarity in Spike Trains from Periodically Stimulated Neural Cultures, IEEE International Conference on Acoustics, Speech and Signal Processing 2010, Special session on “Multivariate Analysis of Brain Signals: Methods and Applications” (accepted #3459, 48.8% acceptance rate) [blog post]
8. Lin Li, Sohan Seth, Il Park, Justin C. Sanchez, José C. Príncipe. Estimation and Visualization of Neuronal Functional Connectivity in Motor Tasks, IEEE International EMBS Conference 2009 Paper #1672
9. Sohan Seth, Il Park, José C. Príncipe. A New Nonparametric Measure of Conditional Independence, IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP) 2009 Paper #3858
10. António R. C. Paiva, Il Park, Justin Sanchez, José C. Príncipe. Peri-event Cross-Correlation over Time for Analysis of Interactions in Neuronal Firing, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2008
11. Il Park, José C. Príncipe. Correntropy based Granger causality, IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP) 2008
12. António R. C. Paiva, Il Park, José C. Príncipe. Reproducing Kernel Hilbert Spaces for Spike Train Analysis, IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP) 2008
13. António R. C. Paiva, Sudhir Rao, Il Park, José C. Príncipe. Spectral Clustering of Synchronous Spike Trains, IEEE International Joint Conference on Neural Networks (IJCNN), 2007
14. António R. C. Paiva, Il Park, José C. Príncipe. Innovating Signal Processing for Spike Train Data, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, 2007
15. Il Park, António R. C. Paiva, José C. Príncipe, John G. Harris. A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters, IEEE International Joint Conference on Neural Networks (IJCNN), 2007
16. Il Park, Dongming Xu, Thomas B. DeMarse, José C. Príncipe. Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space, IEEE International Joint Conference on Neural Networks (IJCNN), 2006
17. Il Park and Jong C. Park. Modeling Causality in Biological Pathways for Logical Identification of Drug Targets, Bioinfo, Busan, Korea, September, 2005.

Conference Publications (abstracts)

1. Il Memming Park, Jonathan Pillow. Bayesian spike-triggered covariance and the elliptical LNP model. COSYNE 2012 [blog post]
2. Evan Archer, Il Memming Park, Jonathan Pillow. Bayesian entropy estimation for infinite neural alphabets. COSYNE 2012 [blog post]
3. Il Memming Park, Sohan Seth, José C. Príncipe. Spike Train Kernel Methods for Neuroscience. JSM 2011 (invited speaker)
4. Il Memming Park, Jonathan Pillow, Miriam Meister, Alexander Huk. Detailed encoding and decoding of choice-related information from LIP spike trains. COSYNE 2011 [pdf]
5. Yuriy Bobkov, Kirill Ukhanov, Il Park, José C. Príncipe, Barry W. Ache. Measuring Ensemble Activity in Lobster ORNs through Calcium Imaging (AchemS 2010)
6. António R. C. Paiva, Il Park. Which measure should we use for unsupervised spike train learning? (Statistical Analysis of Neuronal Data (SAND5)) 2010
7. Il Park, José C. Príncipe. Significance test for spike trains based on finite point process estimation. (Society for Neuroscience 2009) [blog post] poster# 789.1/GG119
8. Yuriy Bobkov, Il Park, Kirill Ukhanov, José C. Príncipe, Barry W. Ache. Population coding within an ensemble of rhythmically active primary olfactory receptor neurons. (Society for Neuroscience 2009) poster# 349.9/V18
9. Il Park, Yuriy Bobkov, Kirill Ukhanov, Barry W. Ache, José C. Príncipe. Input Driven Synchrony of Oscillating Olfactory Receptor Neurons: A Computational Modeling Study, (AChemS 2009) [blog post]
10. Il Park, Murali Rao, Thomas B. DeMarse, José C. Príncipe. Point Process Model for Precisely Timed Spike Trains (COSYNE 2009) [blog post]
11. António R. C. Paiva, Il Park, José C. Príncipe, Reproducing Kernel Hilbert Spaces for Spike Train Analysis, Conference on Computational Neuroscience, 2008 (presented by José C. Príncipe)
12. Il Park, António R. C. Paiva, José C. Príncipe, Thomas B. DeMarse. An Efficient Computation of Continuous-time Correlogram of Spike Trains, COSYNE 2007, Salt Lake City, Utah, February 22-25, 2007 [png]

ArXiv

1. Il Memming Park, Marcel Nassar, Mijung Park. Active Bayesian Optimization: Minimizing Minimizer Entropy. arXiv:1202.2143v1 (2012) [blog post]

Book Chapters

1. António R. C. Paiva, Il Park, José C. Príncipe, Justin Sanchez. Instantaneous cross-correlation analysis of neural ensembles with high temporal resolution. (in press) (edited by Farina et al.)
2. António R. C. Paiva, Il Park, José C. Príncipe. Inner products for representation and learning in the spike train domain. (Book chapter in “Stastical Signal Processing for Neuroscience“, Academic press, edited by Karim G. Oweiss) [amazon] [science direct]
3. José C. Príncipe, Jianwu Xu, Robert Jenssen, Antonio Paiva, Il Park. A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. (Book in press titled “Information Theoretic Learning: Renyi’s Entropy and Kernel Perspectives“ edited by José C. Príncipe from Springer)
4. António R. C. Paiva, Il Park, José C. Príncipe. Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains, (Book chapter in “optimization in Neuroscience”, Springer Optimization and Its Applications series, edited by Panos Pardalos)

Thesis and Dissertation

1. Il Park. Capturing spike train similarity structure: A point process divergence approach. Ph.D. dissertation (2010)
2. Il Park. Continuous time correlation analysis techniques for spike trains. M.S. thesis (2007)

Talks

1. Il Park, Neural coding by Input driven synchrony of Spontaneously bursting Olfactory receptor neurons, CNEL seminar, 2009
2. Il Park, Noise or Signal in Spike Trains from Neuronal Culture, CNEL seminar, 2008
3. Il Park, Thomas B. DeMarse, José C. Príncipe. Liquid State Machines and Cultured Cortical Networks: What we have learned, Collaborative Research in Computational Neuroscience (CRCNS) PI meeting 2008
4. Il Park, Karl Dockendorf, Thomas B. DeMarse, José C. Príncipe. Cultured Liquid State Machine, Collaborative Research in Computational Neuroscience (CRCNS) PI meeting 2007 (poster presentation)
5. Il Park, Synchrony of Neuronal Culture and RKHS on Spike Trains, CNEL seminar, 2006
6. José C. Príncipe, Thomas B. DeMarse. Design, Analysis and Validation of Biologically Plausible Computational Models, Collaborative Research in Computational Neuroscience (CRCNS) PI meeting 2006 (partially presented by Il Park and Karl Dockendorf)

my Google scholar page

CHAPTER 9

A REPRODUCING KERNEL HILBERT SPACE FRAMEWORK FOR

INFORMATION-THEORETIC LEARNING

Chapter Co-authors: Jianwu Xu, Robert Jenssen, Antonio Paiva, Il Park