Il Memming Park

Il Memming Park

Stony Brook University

H-index: 26

North America-United States

About Il Memming Park

Il Memming Park, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at Stony Brook University, specializes in the field of computational neuroscience, theoretical neuroscience, point process, machine learning, dynamical systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Large-scale variational Gaussian state-space models

Smoothing for exponential family dynamical systems

Real-time variational method for learning neural trajectory and its dynamics

RNNS with gracefully degrading continuous attractors

Persistent learning signals and working memory without continuous attractors

Linear time GPs for inferring latent trajectories from neural spike trains

Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data

Spectral learning of Bernoulli linear dynamical systems models for decision-making

Il Memming Park Information

University

Position

Associate Professor of Neurobiology and Behavior

Citations(all)

2800

Citations(since 2020)

1596

Cited By

1863

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

45

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Il Memming Park Skills & Research Interests

computational neuroscience

theoretical neuroscience

point process

machine learning

dynamical systems

Top articles of Il Memming Park

Title

Journal

Author(s)

Publication Date

Large-scale variational Gaussian state-space models

arXiv preprint arXiv:2403.01371

Matthew Dowling

Yuan Zhao

Il Memming Park

2024/3/3

Smoothing for exponential family dynamical systems

Matthew Dowling

Yuan Zhao

Il Memming Park

2023/10/13

Real-time variational method for learning neural trajectory and its dynamics

Matthew Dowling

Yuan Zhao

Il Memming Park

2023/5/18

RNNS with gracefully degrading continuous attractors

Ábel Ságodi

Piotr A Sokol

Il Memming Park

2023/10/13

Persistent learning signals and working memory without continuous attractors

arXiv preprint arXiv:2308.12585

Il Memming Park

Ábel Ságodi

Piotr Aleksander Sokół

2023/8/24

Linear time GPs for inferring latent trajectories from neural spike trains

Matthew Dowling

Yuan Zhao

Il Memming Park

2023/6/1

Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data

Ayesha Vermani

Il Memming Park

Josue Nassar

2023/10/13

Spectral learning of Bernoulli linear dynamical systems models for decision-making

Transactions on Machine Learning Research

Iris R Stone

Yotam Sagiv

Il Memming Park

Jonathan W Pillow

2023/4/13

Differences in temporal processing speeds between the right and left auditory cortex reflect the strength of recurrent synaptic connectivity

PLoS biology

Demetrios Neophytou

Diego M Arribas

Tushar Arora

Robert B Levy

Il Memming Park

...

2022/10/21

Metastable dynamics of neural circuits and networks

Braden AW Brinkman

Han Yan

Arianna Maffei

Il Memming Park

Alfredo Fontanini

...

2022/3/1

Streaming variational monte carlo

IEEE transactions on pattern analysis and machine intelligence

Yuan Zhao

Josue Nassar

Ian Jordan

Mónica Bugallo

Il Memming Park

2022/2/24

Neuromatch Academy: a 3-week, online summer school in computational neuroscience

Bernard Marius t Hart

Titipat Achakulvisut

Ayoade Adeyemi

Athena Akrami

Bradly Alicea

...

2022

Gating Mechanisms Underlying Sequence-to-Sequence Working Memory

Ian D Jordan

Piotr A Sokol

Il Memming Park

2021/10/6

Neural latents benchmark'21: evaluating latent variable models of neural population activity

arXiv preprint arXiv:2109.04463

Felix Pei

Joel Ye

David Zoltowski

Anqi Wu

Raeed H Chowdhury

...

2021/9/9

Hida-Mat\'ern Kernel

arXiv preprint arXiv:2107.07098

Matthew Dowling

Piotr Sokół

Il Memming Park

2021/7/15

Sensory and choice responses in MT distinct from motion encoding

bioRxiv

Aaron J Levi

Yuan Zhao

Il Memming Park

Alexander C Huk

2021/6/25

On 1/n neural representation and robustness

Advances in Neural Information Processing Systems

Josue Nassar

Piotr Sokol

SueYeon Chung

Kenneth D Harris

Il Memming Park

2020

Variational online learning of neural dynamics

Frontiers in computational neuroscience

Yuan Zhao

Il Memming Park

2020/10/14

Jointly learning visual motion and confidence from local patches in event cameras

2023/7/4

Non-parametric generalized linear model

arXiv preprint arXiv:2009.01362

Matthew Dowling

Yuan Zhao

Il Memming Park

2020/9/2

See List of Professors in Il Memming Park University(Stony Brook University)

Co-Authors

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