Il Memming Park, Ph.D.

Affiliations: 
2015-2023 Center for Perceptual Systems Stony Brook University, Stony Brook, NY, United States 
 2022- Neuroscience Champalimaud Centre for the Unknown 
Area:
Computational Neuroscience, spike train, point process, computational methods, decision, olfaction
Website:
http://catniplab.github.io
Google:
"Memming"
Bio:

https://scholar.google.com/citations?user=CsmltusAAAAJ

Mean distance: 15.99 (cluster 51)
 
SNBCP

Parents

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Jose Carlos Principe grad student 2005-2010 UF Gainesville
 (Capturing spike train similarity structure: A point process divergence approach.)
Jonathan W. Pillow post-doc 2010-2014 UT Austin

Children

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Diego Arribas research assistant 2020-2020 SUNY Stony Brook
Ayesha Vermani grad student 2019- SUNY Stony Brook
Ábel Ságodi grad student 2022- Champalimaud Centre for the Unknown
Hyungju Jeon grad student 2023- Champalimaud Centre for the Unknown
Yuan Zhao grad student 2015-2016 SUNY Stony Brook
Logan Becker grad student 2017-2020 SUNY Stony Brook
Ian Jordan grad student 2018-2022 SUNY Stony Brook
Josue Nassar grad student 2018-2022 SUNY Stony Brook
Piotr Sokol grad student 2017-2023 SUNY Stony Brook
Matthew Dowling grad student 2019-2023 SUNY Stony Brook
Yves Bernaerts post-doc 2023- Champalimaud Centre for the Unknown
David Lance Hocker post-doc 2016-2017 SUNY Stony Brook (Chemistry Tree)
Sima Mofakham post-doc 2018-2019 SUNY Stony Brook
Yuan Zhao post-doc 2016-2021 SUNY Stony Brook
André G. Mendonça post-doc 2023-2024 Champalimaud Centre for the Unknown

Collaborators

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Yuriy Bobkov collaborator 2008- UF Gainesville
Alex C. Huk collaborator 2010- UT Austin
Jacob Yates collaborator 2011- UT Austin
Alfredo Fontanini collaborator 2016- SUNY Stony Brook
Charles Mikell collaborator 2016- SUNY Stony Brook
Thomas DeMarse collaborator 2005-2009 UF Gainesville
Murali Rao collaborator 2007-2010 UF Gainesville (MathTree)
BETA: Related publications

Publications

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Park IM, Ságodi Á, Sokół PA. (2023) Persistent learning signals and working memory without continuous attractors. Arxiv
Dowling M, Zhao Y, Park IM. (2023) Real-Time Variational Method for Learning Neural Trajectory and its Dynamics. Arxiv
Levi AJ, Zhao Y, Park IM, et al. (2023) Sensory and choice responses in MT distinct from motion encoding. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Neophytou D, Arribas DM, Arora T, et al. (2022) Differences in temporal processing speeds between the right and left auditory cortex reflect the strength of recurrent synaptic connectivity. Plos Biology. 20: e3001803
Zhao Y, Nassar J, Jordan I, et al. (2022) Streaming Variational Monte Carlo. Ieee Transactions On Pattern Analysis and Machine Intelligence
Jordan ID, Sokół PA, Park IM. (2021) Gated Recurrent Units Viewed Through the Lens of Continuous Time Dynamical Systems. Frontiers in Computational Neuroscience. 15: 678158
Jordan ID, Park IM. (2020) Birhythmic Analog Circuit Maze: A Nonlinear Neurostimulation Testbed. Entropy (Basel, Switzerland). 22
Dikecligil GN, Graham DM, Park IM, et al. (2020) Layer and cell type specific response properties of gustatory cortex neurons in awake mice. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Zhao Y, Park IM. (2020) Variational Online Learning of Neural Dynamics. Frontiers in Computational Neuroscience. 14: 71
Zhao Y, Yates JL, Levi AJ, et al. (2020) Stimulus-choice (mis)alignment in primate area MT. Plos Computational Biology. 16: e1007614
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