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Il Park. Published 41 articles in journals.
Identificação

Identificação pessoal

Nome completo
Il Park

Nomes de citação

  • Park, Il
  • Park, Il Memming
  • Park, Memming

Identificadores de autor

Ciência ID
1C1C-10E0-D7BB
ORCID iD
0000-0002-4255-7750
Google Scholar ID
CsmltusAAAAJ

Websites

Domínios de atuação

  • Ciências Médicas e da Saúde - Medicina Básica - Neurociências
  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia Eletrotécnica e Eletrónica

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Coreano (Idioma materno)
Formação
Grau Classificação
2005/09/01 - 2010/08/15
Concluído
 Biomedical Engineering (Doktor (PhD))
Especialização em Biomedical Engineering
University of Florida, Estados Unidos
"Capturing Spike Train Similarity Structure: A Point Process Divergence Approach" (TESE/DISSERTAÇÃO)
1997/02/01 - 2004/07/01
Concluído
 Computer Science (Bachelor)
Especialização em Computer Science
Korea Advanced Institute of Science and Technology, Coreia do Sul
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2010/08/15 - 2014/12/31 Pós-doutorado (Investigação) The University of Texas at Austin, Estados Unidos

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2015/01/03 - 2023/08/15 Professor Associado (Docente Universitário) Stony Brook University, Estados Unidos

Cargos e Funções

Categoria Profissional
Instituição de acolhimento 		Empregador
2022/05/12 - Atual Director de Unidade Orgânica Fundação Champalimaud, Portugal
Fundação Champalimaud, Portugal
Projetos

Bolsa

Designação Financiadores
2018/09 - 2025/09 Adaptive statistical algorithms for learning and control of neural dynamics
RF1DA056404
 National Institute on Drug Abuse
2019/09 - 2024/08 CAREER: Dynamical Systems Modeling of Large-Scale Neural Signals Underlying Cognition
1845836
 National Science Foundation Directorate for Computer and Information Science and Engineering
2020/04 - 2024/03 Metastable dynamics in cortical circuits
UF1NS115779
 National Institute of Neurological Disorders and Stroke
2018/01 - 2021/12 NCS-FO: Connecting Spikes to Cognitive Algorithms
grant.1734910
 Directorate for Computer & Information Science & Engineering
2018/09 - 2021/06 Real-time statistical algorithms for controlling neural dynamics and behavior
R01EB026946
 National Institute of Biomedical Imaging and Bioengineering
Produções

Publicações

Artigo em conferência
  1. Ayesha Vermani; Il Memming Park; Josue Nassar. "Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data". 2024.
  2. Matthew Dowling; Yuan Zhao; Il Memming Park. "Linear time GPs for inferring latent trajectories from neural spike trains". 2023.
  3. Matthew Dowling; Yuan Zhao; Il Memming Park. "Real-time variational method for learning neural trajectory and its dynamics". 2023.
  4. Pei, Felix; Ye, Joel; Zoltowski, David; Wu, Anqi; Chowdhury, Raeed H; Sohn, Hansem; O'Doherty, Joseph E; et al. "Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity". 2021.
  5. Nassar, Josue; Sokól, Piotr; Sueyeon Chung; Kenneth D. Harris; Park, Il Memming. "On 1/n neural representation and robustness". Trabalho apresentado em Neural Information Processing Systems, 2020.
    Publicado
  6. Il Memming Park; Sohan Seth; Steven Van Vaerenbergh. "Probabilistic kernel least mean squares algorithms". 2014.
    10.1109/icassp.2014.6855214
Artigo em revista
  1. Aaron J. Levi; Yuan Zhao; Il Memming Park; Alexander C. Huk. "Sensory and Choice Responses in MT Distinct from Motion Encoding". The Journal of Neuroscience (2023): https://doi.org/10.1523/JNEUROSCI.0267-22.2023.
    10.1523/JNEUROSCI.0267-22.2023
  2. Neophytou, Demetrios; Arribas, Diego; Levy, Robert; Arora, Tushar; Park, Il Memming; Oviedo, Hysell V. "Differences in temporal processing speeds between the right and left auditory cortex reflect the strength of recurrent synaptic connectivity". PLoS Biology 20 10 (2022): e3001803-e3001803. https://www.biorxiv.org/content/10.1101/2021.04.14.439872.
    10.1371/journal.pbio.3001803
  3. B. A. W. Brinkman; H. Yan; A. Maffei; I. M. Park; A. Fontanini; J. Wang; G. La Camera. "Metastable dynamics of neural circuits and networks". Applied Physics Reviews 9 1 (2022): 011313-011313. https://doi.org/10.1063/5.0062603.
    10.1063/5.0062603
  4. Zhao, Yuan; Nassar, Josue; Jordan, Ian; Bugallo, Mónica; Park, Il Memming. "Streaming Variational Monte Carlo". IEEE transactions on pattern analysis and machine intelligence 45 1 (2022): 1150-1161. http://dx.doi.org/10.1109/TPAMI.2022.3153225.
    10.1109/TPAMI.2022.3153225
  5. Jordan, Ian D; Sokol, Piotr Aleksander; Park, Il Memming. "Gated recurrent units viewed through the lens of continuous time dynamical systems". Frontiers in Computational Neuroscience (2021):
    10.3389/fncom.2021.678158
  6. Gulce Nazli Dikecligil; Dustin M. Graham; Il Memming Park; Alfredo Fontanini. "Layer- and Cell Type-Specific Response Properties of Gustatory Cortex Neurons in Awake Mice". The Journal of Neuroscience 40 50 (2020): 9676-9691. https://doi.org/10.1523/JNEUROSCI.1579-19.2020.
    10.1523/JNEUROSCI.1579-19.2020
  7. "Odor tracking in aquatic organisms: the importance of temporal and spatial intermittency of the turbulent plume". Scientific Reports (2020): http://dx.doi.org/10.1038/s41598-020-64766-y.
    10.1038/s41598-020-64766-y
  8. "Variational Online Learning of Neural Dynamics". Frontiers in Computational Neuroscience 14 (2020): http://dx.doi.org/10.3389/fncom.2020.00071.
    10.3389/fncom.2020.00071
  9. "Stimulus-choice (mis)alignment in primate area MT". PLOS Computational Biology 16 5 (2020): e1007614-e1007614. http://dx.doi.org/10.1371/journal.pcbi.1007614.
    10.1371/journal.pcbi.1007614
  10. Ian D. Jordan; Il Memming Park. "Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed". Entropy 22 5 (2020): 537-537. https://doi.org/10.3390/e22050537.
    10.3390/e22050537
  11. David Hocker; Daniele Marinazzo; Il Memming Park. "Myopic control of neural dynamics". PLOS Computational Biology 15 3 (2019): e1006854-e1006854. https://doi.org/10.1371/journal.pcbi.1006854.
    10.1371/journal.pcbi.1006854
  12. Gregory W. Kirschen; Shaoyu Ge; Il Memming Park. "Probability of viral labeling of neural stem cells in vivo". Neuroscience Letters 681 (2018): 17-18. https://doi.org/10.1016/j.neulet.2018.05.016.
    10.1016/j.neulet.2018.05.016
  13. Kathleen Esfahany; Isabel Siergiej; Yuan Zhao; Il Memming Park. "Organization of Neural Population Code in Mouse Visual System". eneuro 5 4 (2018): ENEURO.0414-17.2018. https://doi.org/10.1523/ENEURO.0414-17.2018.
    10.1523/ENEURO.0414-17.2018
  14. Jacob L Yates; Il Memming Park; Leor N Katz; Jonathan W Pillow; Alexander C Huk. "Functional dissection of signal and noise in MT and LIP during decision-making". Nature Neuroscience 20 9 (2017): 1285-1292. https://doi.org/10.1038/nn.4611.
    10.1038/nn.4611
  15. Yuan Zhao; Il Memming Park. "Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains". Neural Computation 29 5 (2017): 1293-1316. https://doi.org/10.1162%2Fneco_a_00953.
    10.1162/neco_a_00953
  16. Il Memming Park; Miriam L R Meister; Alexander C Huk; Jonathan W Pillow. "Encoding and decoding in parietal cortex during sensorimotor decision-making". Nat Neurosci 17 10 (2014): 1395-1403. http://dx.doi.org/10.1038/nn.3800.
    10.1038/nn.3800
  17. Park, I.M.; Bobkov, Y.V.; Ache, B.W.; Príncipe, J.C.. "Intermittency coding in the primary olfactory system: A neural substrate for olfactory scene analysis". Journal of Neuroscience 34 3 (2014): 941-952. http://www.scopus.com/inward/record.url?eid=2-s2.0-84892425403&partnerID=MN8TOARS.
    10.1523/JNEUROSCI.2204-13.2014
  18. Park, I.M.; Seth, S.; Paiva, A.R.C.; Li, L.; Principe, J.C.. "Kernel methods on spike train space for neuroscience: A tutorial". IEEE Signal Processing Magazine 30 4 (2013): 149-160. http://www.scopus.com/inward/record.url?eid=2-s2.0-84879184157&partnerID=MN8TOARS.
    10.1109/MSP.2013.2251072
  19. Archer, E.; Park, I.M.; Pillow, J.W.. "Bayesian and quasi-Bayesian estimators for mutual information from discrete data". Entropy 15 5 (2013): 1738-1755. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878363315&partnerID=MN8TOARS.
    10.3390/e15051738
  20. Park, Il; Archer, Evan; Pillow, Jonathan. "Bayesian entropy estimators for spike trains". BMC Neuroscience 14 Suppl 1 (2013): P316-P316. http://dx.doi.org/10.1186/1471-2202-14-S1-P316.
    10.1186/1471-2202-14-s1-p316
  21. Archer, E.; Park, I.M.; Pillow, J.W.. "Bayesian estimation of discrete entropy with mixtures of stick-breaking priors". Advances in Neural Information Processing Systems 3 (2012): 2015-2023. http://www.scopus.com/inward/record.url?eid=2-s2.0-84877790753&partnerID=MN8TOARS.
  22. Bobkov, Yuriy; Park, Il; Ukhanov, Kirill; Principe, Jose; Ache, Barry. "Correction: Cellular Basis for Response Diversity in the Olfactory Periphery". PLoS ONE 7 4 (2012): http://dx.doi.org/10.1371/annotation/b7163295-4bf4-4ddc-8a17-044c6eb54a5d.
    10.1371/annotation/b7163295-4bf4-4ddc-8a17-044c6eb54a5d
  23. Li, L.; Park, I.M.; Seth, S.; Sanchez, J.C.; Príncipe, J.C.. "Functional connectivity dynamics among cortical neurons: A dependence analysis". IEEE Transactions on Neural Systems and Rehabilitation Engineering 20 1 (2012): 18-30. http://www.scopus.com/inward/record.url?eid=2-s2.0-84856413086&partnerID=MN8TOARS.
    10.1109/TNSRE.2011.2176749
  24. Park, I.M.; Seth, S.; Rao, M.; Principe, J.C.. "Strictly positive-definite spike train kernels for point-process divergences". Neural Computation 24 8 (2012): 2223-2250. http://www.scopus.com/inward/record.url?eid=2-s2.0-84867441577&partnerID=MN8TOARS.
    10.1162/NECO_a_00309
  25. Li, L.; Park, I.M.; Seth, S.; Choi, J.S.; Francis, J.T.; Sanchez, J.C.; Príncipe, J.C.. "An adaptive decoder from spike trains to micro-stimulation using kernel least-mean-squares (KLMS)". IEEE International Workshop on Machine Learning for Signal Processing (2011): http://www.scopus.com/inward/record.url?eid=2-s2.0-82455163776&partnerID=MN8TOARS.
    10.1109/MLSP.2011.6064603
  26. Park, I.M.; Pillow, J.W.. "Bayesian spike-triggered covariance analysis". Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011 (2011): http://www.scopus.com/inward/record.url?eid=2-s2.0-84860615929&partnerID=MN8TOARS.
  27. Park, I.; Seth, S.; Rao, M.; Príncipe, J.C.. "Estimation of symmetric chi-square divergence for point processes". ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2011): 2016-2019. http://www.scopus.com/inward/record.url?eid=2-s2.0-80051610875&partnerID=MN8TOARS.
    10.1109/ICASSP.2011.5946907
  28. Seth, S.; Rao, M.; Park, I.; Príncipe, J.C.. "A unified framework for quadratic measures of independence". IEEE Transactions on Signal Processing 59 8 (2011): 3624-3635. http://www.scopus.com/inward/record.url?eid=2-s2.0-79960406348&partnerID=MN8TOARS.
    10.1109/TSP.2011.2153197
  29. Paiva, António R. C.; Park, Il; Príncipe, José C.. "A comparison of binless spike train measures". Neural Computing and Applications 19 3 (2010): 405-419. http://dx.doi.org/10.1007/s00521-009-0307-6.
    10.1007/s00521-009-0307-6
  30. Li, L.; Park, I.; Seth, S.; Sanchez, J.C.; 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, EMBC'10 (2010): 4136-4139. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650826373&partnerID=MN8TOARS.
    10.1109/IEMBS.2010.5627362
  31. Paiva, A.R.C.; Park, I.; Príncipe, J.A.C.. "Inner Products for Representation and Learning in the Spike Train Domain". Statistical Signal Processing for Neuroscience and Neurotechnology (2010): 265-309. http://www.scopus.com/inward/record.url?eid=2-s2.0-84856390678&partnerID=MN8TOARS.
    10.1016/B978-0-12-375027-3.00008-9
  32. Brockmeier, A.J.; Park, I.; Mahmoudi, B.; Sanchez, J.C.; 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, EMBC'10 (2010): 6023-6026. http://www.scopus.com/inward/record.url?eid=2-s2.0-78650842701&partnerID=MN8TOARS.
    10.1109/IEMBS.2010.5627600
  33. Seth, S.; Park, I.M.; Brockmeier, A.J.; Semework, M.; Choi, J.; Francis, J.T.; Príncipe, J.C.. "A novel family of non-parametric cumulative based divergences for point processes". Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010 (2010): http://www.scopus.com/inward/record.url?eid=2-s2.0-84860640095&partnerID=MN8TOARS.
  34. Park, I.; Príncipe, J.C.. "Quantification of inter-trial non-stationarity in spike trains from periodically stimulated neural cultures". ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2010): 5442-5445. http://www.scopus.com/inward/record.url?eid=2-s2.0-78049353992&partnerID=MN8TOARS.
    10.1109/ICASSP.2010.5494920
  35. Liu, W.; Park, I.; Príncipe, J.C.. "An information theoretic approach of designing sparse kernel adaptive filters". IEEE Transactions on Neural Networks 20 12 (2009): 1950-1961. http://www.scopus.com/inward/record.url?eid=2-s2.0-72149098116&partnerID=MN8TOARS.
    10.1109/TNN.2009.2033676
  36. Dockendorf, K.P.; Park, I.; He, P.; Príncipe, J.C.; DeMarse, T.B.. "Liquid state machines and cultured cortical networks: The separation property". BioSystems 95 2 (2009): 90-97. http://www.scopus.com/inward/record.url?eid=2-s2.0-58149236632&partnerID=MN8TOARS.
    10.1016/j.biosystems.2008.08.001
  37. Paiva, António R. C.; Park, Il; Príncipe, José C.. "A Reproducing Kernel Hilbert Space Framework for Spike Train Signal Processing". Neural Computation 21 2 (2009): 424-449. http://dx.doi.org/10.1162/neco.2008.09-07-614.
    10.1162/neco.2008.09-07-614
  38. Li, N.; Seth, S.; Park, I.; Sanchez, J.C.; Principe, J.C.. "Estimation and visualization of neuronal functional connectivity in motor tasks". Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (2009): 2926-2929. http://www.scopus.com/inward/record.url?eid=2-s2.0-77951008497&partnerID=MN8TOARS.
    10.1109/IEMBS.2009.5333991
  39. Paiva, A.R.C.; Park, I.; Sanchez, J.C.; Príncipe, J.C.. "Peri-event cross-correlation over time for analysis of interactions in neuronal firing". Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (2008): 1903-1906. http://www.scopus.com/inward/record.url?eid=2-s2.0-61849156452&partnerID=MN8TOARS.
  40. Paiva, A.R.C.; Park, I.; Príncipe, J.C.. "Reproducing kernel Hilbert spaces for spike train analysis". ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2008): 5212-5215. http://www.scopus.com/inward/record.url?eid=2-s2.0-51449095583&partnerID=MN8TOARS.
    10.1109/ICASSP.2008.4518834
  41. Park, I.; Príncipe, J.C.. "Correntropy based Granger causality". ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (2008): 3605-3608. http://www.scopus.com/inward/record.url?eid=2-s2.0-51449088936&partnerID=MN8TOARS.
    10.1109/ICASSP.2008.4518432
  42. Park, Il; Paiva, António R.C.; DeMarse, Thomas B.; Príncipe, José C.. "An efficient algorithm for continuous time cross correlogram of spike trains". Journal of Neuroscience Methods 168 2 (2008): 514-523. http://dx.doi.org/10.1016/j.jneumeth.2007.10.005.
    10.1016/j.jneumeth.2007.10.005
  43. Park, I.; Paiva, A.R.C.; Príncipe, J.C.; Harris, J.G.. "A closed form solution for multiple-input spike based adaptive filters". IEEE International Conference on Neural Networks - Conference Proceedings (2007): 2064-2068. http://www.scopus.com/inward/record.url?eid=2-s2.0-51749091306&partnerID=MN8TOARS.
    10.1109/IJCNN.2007.4371276
  44. Paiva, A.R.C.; Rao, S.; Park, I.; Príncipe, J.C.. "Spectral clustering of synchronous spike trains". IEEE International Conference on Neural Networks - Conference Proceedings (2007): 1831-1835. http://www.scopus.com/inward/record.url?eid=2-s2.0-51749119891&partnerID=MN8TOARS.
    10.1109/IJCNN.2007.4371236
  45. Paiva, A.; Park, I.; Principe, J.C.. "Innovating signal processing for spike train data". Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (2007): http://www.scopus.com/inward/record.url?eid=2-s2.0-57649229036&partnerID=MN8TOARS.
    10.1109/IEMBS.2007.4353572
  46. Park, I.; Xu, D.; Demarse, T.B.; Principe, J.C.. "Modeling of synchronized burst in dissociated cortical tissue: An exploration of parameter space". IEEE International Conference on Neural Networks - Conference Proceedings (2006): 581-586. http://www.scopus.com/inward/record.url?eid=2-s2.0-40649101545&partnerID=MN8TOARS.
Pré-impressão
  1. "Rescuing neural spike train models from bad MLE". 2020.
  2. "Non-parametric generalized linear model". 2020.
  3. "Information Geometry of Orthogonal Initializations and Training". 2018.
  4. "Black box variational inference for state space models". 2015.

Outros

Outra produção
  1. Sensory and choice responses in MT distinct from motion encoding. 2021. Aaron J Levi; Yuan Zhao; Il Memming Park; Alexander C Huk. https://doi.org/10.1101/2021.06.24.449836.
    10.1101/2021.06.24.449836
  2. Recurrent connectivity underlies lateralized temporal processing differences in Auditory Cortex. 2021. Demetrios Neophytou; Diego Arribas; Robert B. Levy; Memming Park, II; Hysell V. Oviedo. https://doi.org/10.1101/2021.04.14.439872.
    10.1101/2021.04.14.439872
  3. Bayesian Efficient Coding. 2017. Il Memming Park; Jonathan W. Pillow. https://doi.org/10.1101/178418.
    10.1101/178418
  4. A Reproducing Kernel Hilbert Space Framework for ITL. Information Science and Statistics. 2010. Xu, Jianwu; Jenssen, Robert; Paiva, Antonio; Park, Il. http://dx.doi.org/10.1007/978-1-4419-1570-2_9.
    10.1007/978-1-4419-1570-2_9
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2019/09/01 - 2023/12/31 Approximate Bayesian Inference for State-space Models of Neural Dynamics
Orientador
 Electrical and Computer Engineering (Doutoramento)
Stony Brook University, Estados Unidos
2017/08/01 - 2023/05/31 Geometry of learning and representation in neural networks
Orientador
 Neuroscience (Doutoramento)
Stony Brook University, Estados Unidos
2021/09/01 - 2023/05 Exploring the expressive power of latent variable models
Orientador
 Program in Neuroscience (Mestrado)
Stony Brook University, Estados Unidos
2018/06/01 - 2022/05/20 Bayesian Machine Learning for Analyzing and Controlling Neural Populations
Orientador
 Electrical and Computer Engineering (Doutoramento)
Stony Brook University, Estados Unidos
2018/06/01 - 2022/05/20 Metastable Dynamics Underlying Neural Computation
Orientador de Ian Jordan
 Applied Mathematics and Statistics (Doutoramento)
Stony Brook University, Estados Unidos
2017/06/01 - 2019/12/15 The Linear-Nonlinear Weibull Model
Orientador
 Program in Neuroscience (Mestrado)
Stony Brook University, Estados Unidos
2015/06/01 - 2016/08/01 Log-linear Model Based Tree and Latent Variable Model for Count Data
Orientador de Yuan Zhao
 Applied Mathematics and Statistics (Doutoramento)
Stony Brook University, Estados Unidos

Arbitragem científica em conferência

Nome da conferência Local da conferência
2023 - Atual International Conference on Machine Learning
2021 - Atual Computational Systems Neuroscience
2021 - Atual International Conference on Learning Representations
2020 - Atual Neural Information Processing Systems
2019 - 2019 Uncertainty in Artificial Intelligence
2009 - 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Arbitragem científica em revista

Nome da revista (ISSN) Editora
2018/03/01 - Atual Neurons, Behavior, Data analysis, and Theory (NBDT) ( 2690-2664)
Distinções

Prémio

2019 NSF CAREER AWARD
National Science Foundation, Estados Unidos
2018 Discovery Award
Stony Brook University, Estados Unidos