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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Paiva, A.R.C., Park, I. and Príncipe, J.C. Optimization in Reproducing Kernel Hilbert Spaces of Spike Trains ? Computational Neuroscience  inbook
(in press)
Park, I. and Park, J.C. Modeling Causality in Biological Pathways for Logical Identification of Drug Targets 2005 Bioinfo  inproceedings
Park, I., Xu, D., DeMarse, T.B. and Príncipe, J.C. Modeling of Synchronized Burst in Dissociated Cortical Tissue: An Exploration of Parameter Space 2006 IEEE International Joint Conference on Neural Networks (IJCNN)  inproceedings DOI
Paiva, A.R.C., Park, I. and Príncipe, J.C. Innovating Signal Processing for Spike Train Data 2007 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  inproceedings
Paiva, A.R.C., Rao, S., Park, I. and Príncipe, J.C. Spectral Clustering of Synchronous Spike Trains 2007 IEEE International Joint Conference on Neural Networks (IJCNN)  inproceedings PDF
Park, I. Continuous time correlation analysis techniques for spike trains 2007 School: The University of Florida  mastersthesis
Park, I., Paiva, A.R.C., DeMarse, T.B., Príncipe, J.C. and Harris, J. A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters 2007 IEEE International Joint Conference on Neural Networks (IJCNN)  inproceedings
Park, I., Paiva, A.R.C., Príncipe, J.C. and DeMarse, T.B. An Efficient Computation of Continuous-time Correlogram of Spike Trains 2007 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Paiva, A.R.C., Park, I. and Príncipe, J.C. Reproducing Kernel Hilbert Spaces for Spike Train Analysis 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings DOI
Paiva, A.R.C., Park, I., Sanchez, J. and Príncipe, J.C. Peri-event Cross-Correlation over Time for Analysis of Interactions in Neuronal Firing 2008 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)  inproceedings
Park, I., Paiva, A.R.C., DeMarse, T.B. and Príncipe, J.C. An efficient algorithm for continuous-time cross correlogram of spike trains 2008 Journal of Neuroscience Methods
Vol. 168(2), pp. 514-523 
article DOI
Park, I. and Príncipe, J.C. Correntropy based Granger causality 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings DOI
Xu, J.W., Paiva, A.R.C., Park, I. and Príncipe, J.C. A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning 2008 IEEE Transactions on Signal Processing
Vol. 56(12), pp. 5891-5902 
article DOI
Bobkov, Y., Park, I., Ukhanov, K., Príncipe, J.C. and Ache, B.W. Population coding within an ensemble of rhythmically active primary olfactory receptor 2009 Society for Neuroscience  inproceedings
Dockendorf, K., Park, I., He, P., Príncipe, J.C. and DeMarse, T.B. Liquid State Machines and Cultured Cortical Networks: The Separation Property 2009 Biosystems
Vol. 95(2), pp. 90-97 
article DOI
Li, L., Seth, S., Park, I., Sanchez, J.C. and Príncipe, J.C. Estimation and Visualization of Neuronal Functional Connectivity in Motor Tasks 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)  inproceedings DOI
Liu, W., Park, I. and Príncipe, J.C. An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters 2009 IEEE Transactions on Neural Network
Vol. 20(12), pp. 1950-1961 
article DOI
Liu, W., Park, I., Wang, Y. and Príncipe, J.C. Extended Kernel Recursive Least Squares Algorithm 2009 IEEE Transactions on Signal Processing
Vol. 57(10), pp. 3801-3814 
article DOI
Paiva, A.R.C., Park, I. and Príncipe, J.C. A Reproducing Kernel Hilbert Space framework for Spike Trains 2009 Neural Computation
Vol. 21(2), pp. 424-449 
article DOI
Park, I., Bobkov, Y., Ukhanov, K., Ache, B.W. and Príncipe, J.C. Input Driven Synchrony of Oscillating Olfactory Receptor Neurons: A Computational Modeling Study 2009 Association for Chemoreception (AChemS) Annual Meeting  inproceedings
Park, I. and Príncipe, J.C. Significance test for spike trains based on finite point process estimation 2009 Society for Neuroscience  inproceedings
Park, I., Rao, M., DeMarse, T.B. and Príncipe, J.C. Point Process Model for Precisely Timed Spike Trains. 2009 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings DOI
Seth, S., Park, I. and Príncipe, J.C. A new nonparametric measure of conditional independence 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings DOI
Bobkov, Y., Ukhanov, K., Park, I., Príncipe, J.C. and Ache, B. Measuring Ensemble Activity in Lobster ORNs through Calcium Imaging 2010 Association for Chemoreception (AChemS) Annual Meeting  inproceedings
Brockmeier, A.J., Park, I., Mahmoudi, B., Sanchez, J.C. and Príncipe, J.C. Spatio-Temporal Clustering of Firing Rates for Neural State Estimation 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)  inproceedings
Li, L., Park, I., Seth, S., Sanchez, J.C. and Príncipe, J.C. Neuronal Functional Connectivity Dynamics in Cortex: An MSC-based Analysis 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)  inproceedings
Paiva, A.R.C. and Park, I. Which measure should we use for unsupervised spike train learning? 2010 Statistical Analysis of Neuronal Data (SAND5)  conference
Paiva, A.R.C., Park, I. and Príncipe, J.C. A Comparison of Binless Spike Train Measures 2010 Neural Computing & Applications
Vol. 19, pp. 405-419 
article DOI
Paiva, A.R.C., Park, I. and Príncipe, J.C. Inner Products for Representation and Learning in the Spike Train Domain 2010 Statistical Signal Processing for Neuroscience  inbook
Park, I. and Príncipe, J.C. Quantification of Inter-trial Non-stationarity in Spike Trains from Periodically Stimulated Neural Cultures 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5442-5445  inproceedings
Special session on Multivariate Analysis of Brain Signals: Methods and Applications
DOI
Park, I.M. Capturing spike train similarity structure: A point process divergence approach 2010 School: The University of Florida  phdthesis
Príncipe, J.C. Information Theoretic Learning 2010   book URL
Príncipe, J.C., Xu, J.W., Jenssen, R., Paiva, A. and Park, I. A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning 2010   inbook
Seth, S., Park, I., Brockmeier, A.J., Semework, M., Choi, J., Francis, J. and Príncipe, J.C. A novel family of non-parametric cumulative based divergences for point processes 2010 Advances in Neural Information Processing Systems (NIPS), pp. 2119-2127  inproceedings URL
Li, L., Park, I.M., Seth, S., Choi, J., Francis, J.T., Sanchez, J.C. and Príncipe, J.C. An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-square (KLMS) algorithm 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)  conference DOI
Park, I., Seth, S., Rao, M. and Principe, J.C. Estimation of symmetric chi-square divergence for point processes 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2016-2019  inproceedings DOI
Park, I.M., Meister, M., Huk, A. and Pillow, J.W. Detailed encoding and decoding of choice-related information from LIP spike trains 2011 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M. and Pillow, J.W. Bayesian Spike Triggered Covariance Analysis 2011 Advances in Neural Information Processing Systems (NIPS)  inproceedings URL
Park, I.M., Seth, S. and Príncipe, J.C. Spike Train Kernel Methods for Neuroscience 2011 Joint Statistical Meeting  conference
Seth, S., Rao, M., Park, I. and Príncipe, J.C. A Unified Framework for Quadratic Measures of Independence 2011 IEEE Transactions on Signal Processing
Vol. 59, pp. 3624-3635 
article DOI
Archer, E., Park, I.M. and Pillow, J. Bayesian entropy estimation for infinite neural alphabets 2012 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings URL
Archer, E., Park, I.M. and Pillow, J.W. Bayesian estimation of discrete entropy with mixtures of stick breaking priors 2012 Advances in Neural Information Processing Systems (NIPS)  inproceedings URL
Bobkov, Y., Park, I., Ukhanov, K., Príncipe, J.C. and Ache, B.W. Cellular basis for response diversity in the olfactory periphery 2012 PLoS One
Vol. 7(4), pp. e34843+ 
article DOI
Li, L., Park, I., Seth, S., Sanchez, J.C. and Príncipe, J.C. Functional Connectivity Dynamics Among Cortical Neurons: A Dependence Analysis 2012 IEEE Transactions on Neural Systems and Rehabilitation Engineering
Vol. 20(1), pp. 18-30 
article DOI
Li, L., Park, I.M., Brockmeier, A., Chen, B., Seth, S., Francis, J.T., Sanchez, J.C. and Príncipe, J.C. Adaptive Inverse Control of Neural Spatiotemporal Spike Patterns with a Reproducing Kernel Hilbert Space (RKHS) Framework 2012 IEEE Transactions on Neural Systems and Rehabilitation Engineering
Vol. 21(4), pp. 532-543 
article DOI
Park, I.M., Meister, M.L.R., Huk, A.C. and Pillow, J.W. Deciphering the code for sensorimotor decision-making at the level of single neurons in parietal cortex 2012 Society for Neuroscience  inproceedings
(oral presentation)
Park, I.M., Nassar, M. and Park, M. Active Bayesian Optimization: Minimizing Minimizer Entropy 2012 ArXiv e-prints  unpublished arXiv
Park, I.M. and Pillow, J. Bayesian spike-triggered covariance and the elliptical LNP model 2012 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M., Seth, S., Rao, M. and Príncipe, J.C. Strictly positive definite spike train kernels for point process divergences 2012 Neural Computation
Vol. 24(8), pp. 2223-2250 
article DOI arXiv
Archer, E., Park, I.M. and Pillow, J. Semi-parametric Bayesian entropy estimation for binary spike trains 2013 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Archer, E., Park, I.M. and Pillow, J. Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data 2013 Entropy
Vol. 15(5), pp. 1738-1755 
article DOI
Archer, E., Park, I.M. and Pillow, J.W. Bayesian entropy estimation for binary spike train data using parametric prior knowledge 2013 Advances in Neural Information Processing Systems (NIPS)  inproceedings URL
Paiva, A.R.C., Park, I., Príncipe, J.C. and Sanchez, J. Instantaneous cross-correlation analysis of neural ensembles with high temporal resolution 2013 Neural engineering applied to neurorehabilitation  inbook
Park, I.M., Archer, E., Latimer, K. and Pillow, J.W. Universal models for binary spike patterns using centered Dirichlet processes 2013 Advances in Neural Information Processing Systems (NIPS)  inproceedings URL
Park, I.M., Archer, E. and Pillow, J. Bayesian entropy estimators for spike trains 2013 Computational Neuroscience (CNS)  inproceedings
Park, I.M., Archer, E., Priebe, N. and Pillow, J. Got a moment or two? Neural models and linear dimensionality reduction 2013 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M., Archer, E., Priebe, N. and Pillow, J.W. Spectral methods for neural characterization using generalized quadratic models 2013 Advances in Neural Information Processing Systems (NIPS)  inproceedings URL
Park, I.M., Seth, S., Paiva, A.R.C., Li, L. and Principe, J.C. Kernel methods on spike train space for neuroscience: a tutorial 2013 IEEE Signal Processing Magazine
Vol. 30(4), pp. 149-160 
article DOI arXiv
Park, I.M., Seth, S. and Van Vaerenbergh, S. Bayesian Extensions of Kernel Least Mean Squares 2013 ArXiv e-prints  unpublished arXiv
Pillow, J. and Park, I.M. Beyond Barlow: A Bayesian theory of efficient neural coding 2013 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Yates, J., Park, I.M., Cormack, L., Pillow, J. and Huk, A. Precise characterization of multiple LIP neurons in relation to stimulus and behavior 2013 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Yates, J., Park, I.M., Cormack, L., Pillow, J. and Huk, A. Precise characterization of dorsal stream neural activity during decision making 2013 Society for Neuroscience  inproceedings
Archer, E., Park, I.M. and Pillow, J. Bayesian Entropy Estimation for Countable Discrete Distributions 2014 Journal of Machine Learning Research
Vol. 15, pp. 2833-2868 
article URL arXiv
Huk, A., Yates, J., Katz, L., Park, I.M. and Pillow, J. Dissociated functional significance of choice-related activity across the primate dorsal stream 2014 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M., Archer, E., Latimer, K. and Pillow, J. Scalable nonparametric models for binary spike patterns 2014 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M., Bobkov, Y.V., Ache, B.W. and Príncipe, J.C. Intermittency coding in the primary olfactory system: A neural substrate for olfactory scene analysis 2014 The Journal of Neuroscience
Vol. 34(3), pp. 941-952 
article DOI
Park, I.M., Meister, M.L.R., Huk, A.C. and Pillow, J.W. Encoding and decoding in parietal cortex during sensorimotor decision-making 2014 Nature Neuroscience
Vol. 17(10), pp. 1395-1403 
article DOI PDF
Park, I.M., Seth, S. and Van Vaerenbergh, S. Probabilistic Kernel Least Mean Squares Algorithms 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)  inproceedings DOI URL
Yates, J.L., Katz, L.N., Park, I.M., Pillow, J.W. and Huk, A.C. Correlations and choice probabilities in simultaneously recorded MT and LIP neurons 2014 Society for Neuroscience  inproceedings
Archer, E., Park, I.M., Buesing, L., Cunningham, J. and Paninski, L. Black box variational inference for state space models 2015 ArXiv e-prints  unpublished arXiv
Park, I.M., Yates, J., Huk, A. and Pillow, J. Dynamic correlations between visual and decision areas during perceptual decision-making 2015 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Wu, A., Park, I.M. and Pillow, J. Convolutional spike-triggered covariance analysis for estimating subunit models 2015 Frontiers in Systems Neuroscience. Conference Abstract: Computational and Systems Neuroscience (COSYNE)  inproceedings
Wu, A., Park, I.M. and Pillow, J. Convolutional spike-triggered covariance analysis for neural subunit models 2015 Advances in Neural Information Processing Systems (NIPS)  inproceedings
Yates, J., Archer, E., Huk, A.C. and Park, I.M. Canonical correlations reveal co-variability between spike trains and local field potentials in area MT 2015 Organization for Computational Neuroscience (CNS)  inproceedings
Dikecligil, G.N., Graham, D., Park, I.M. and Fontanini, A. Layer Specific Sensorimotor Activity in the Gustatory Cortex of Licking Mice 2016 Society for Neuroscience  inproceedings
Zhao, Y. and Park, I.M. Inferring low-dimensional network dynamics with variational latent Gaussian process 2016 Organization for Computational Neuroscience (CNS)  inproceedings
Zhao, Y. and Park, I.M. Variational inference of latent Gaussian neural dynamics 2016 International Conference on Machine Learning (ICML) Workshop on Computational Biology  inproceedings
Zhao, Y. and Park, I.M. Interpretable Nonlinear Dynamic Modeling of Neural Trajectories 2016 Advances in Neural Information Processing Systems (NIPS)  inproceedings youtube arXiv
Esfahany, K., Siergiej, I., Zhao, Y. and Park, I.M. Organization of Neural Population Code in Mouse Visual System 2017 bioRxiv, pp. 220558+  unpublished
(under review)
DOI URL
Hocker, D. and Park, I.M. Multistep inference for generalized linear spiking models curbs runaway excitation 2017 8th International IEEE EMBS Conference On Neural Engineering, pp. 613-616  inproceedings DOI PDF
Hocker, D. and Park, I.M. Instability of the generalized linear model for spike trains 2017 Computational and Systems Neuroscience (COSYNE)  inproceedings
Park, I.M. and Pillow, J.W. Bayesian Efficient Coding 2017 bioRxiv, pp. 178418+  unpublished
(under review)
DOI URL
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 2017 Nature Neuroscience  article DOI
Zhao, Y. and Park, I.M. Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains 2017 Neural Computation
Vol. 29(5) 
article DOI youtube arXiv
Zhao, Y. and Park, I.M. Gotta infer’em all: dynamical features from neural trajectories 2017 Computational and Systems Neuroscience (COSYNE)  inproceedings
Zhao, Y. and Park, I.M. Recursive Variational Bayesian Dual Estimation for Nonlinear Dynamics and Non-Gaussian Observations 2017 ArXiv e-prints  unpublished
(revising)
arXiv
Zhao, Y., Yates, J. and Park, I.M. Low-dimensional state-space trajectory of choice at the population level in area MT 2017 Computational and Systems Neuroscience (COSYNE)  inproceedings