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장소 KI bldg. 5th fl. Room B501 & Zoom 
일시 Jan. 18(Tue), 2pm-3pm 
연사 YoungJu Jo (Stanford University) 


18 Jan 2022, Tue, 2pm-3pm, KI bldg. 5th fl. Room B501


회의 ID: 895 860 324 30


Data-driven interrogation of biological dynamics:
from subcellular interactions to neuronal networks in vivo



YoungJu Jo

PhD Candidate in Applied Physics, Deisseroth Laboratory, Stanford University



Biological systems are nonlinear dynamical systems consisting of heterogeneous entities. Understanding the logic of the complex spatiotemporal dynamics in such systems, robustly implementing specific biological functions, may require new approaches beyond the traditional hypothesis-driven experimental designs. Here we present a data-driven approach, enabled by high-throughput experimental and computational technologies, across multiple scales. We first discuss a computational imaging technique for simultaneously visualizing multiple aspects of subcellular dynamics [1, 2], its potential combination with molecular optogenetics to study the cell signaling networks, and the remaining challenges in these systems. Then we turn to neuronal networks in behaving animals where high-dimensional neural population activity could be reliably measured and perturbed over extended time. Synergizing with recent technical advances, we propose and experimentally demonstrate a unified deep learning framework to identify the underlying neural dynamical systems, reverse-engineer the neural computation implemented by the dynamics, and design spatiotemporally patterned optogenetic stimulation for naturalistic manipulation of animal behavior [3]. Application of this framework to the mouse habenular circuitry reveals cell-type-specific reward history coding implemented by line attractor dynamics [4].



1. Jo*, Park* et al. Science Advances 3(8), e1700606, 2017.

2. Jo*, Cho*, Park* et al. Nature Cell Biology 23, 1329–1337, 2021.

3. Jo et al. in preparation.

4. Sylwestrak*, Vesuna*, Jo* et al. in revision.


문의: 박용근 교수 (내선:2514)



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331 2016/09/29-12/13  E6-2, #1323  Sangyoon Han 외  2016 Fall, Physics Seminar Serises file
330 2016/1/11, 4PM  E6-2, #1323  Dr. B.J.Kim (Max Planck Institute for Solid State Research)  Mott Physics in the Strong Spin-Orbit Coupling Regime
329 2016/1/26, 2PM  E6-2, #1323  Dr. Sergei V. Kalinin (Center for Nanophase Materials Sciences, Oak Ridge National Laboratory)  Electrochemistry on Nano- and Atomic Levels: Scanning Probe Microscopy Meets Deep Data
328 2017.1.9(Mon), 4PM  Lecture Hall, College of Natural Sciences [#1501,E6-2]  Prof. John Michael Kosterlitz, Brown University  Topological Defects and Phase Transitions" file
327 2017/03/06 - 05/29  Seminar Room 1501  이종봉 박사 (POSTECH) 외  Spring 2017: Physics Colloquium file
326 2017/03/21 - 06/08  Seminar Room 1323  조길영 박사(KAIST) 외  Spring 2017: Physics Seminar Serises file
325 2018. 6. 22 10:00am ~ 11:50am  E6-6, Lecture Room 119 (1F)  Prof. Sang Bok Lee, Dept. of Chemistry and Biochemistry, Univ. of Maryland  Success in Research Career file
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322 2019. 8. 22 4PM & 8. 23 3PM  #1323, E6-2  Prof. Andrew N Cleland  Physics and Applications in Nanoelectronics and Nonomechanics file
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320 2019/09/18 - 12/5  Seminar Room #1323  Prof. David Schuster and etc.  Fall 2019: Physics Seminar Serises file
319 3 PM, 12 Jun (Wed), 2019  Rm# 1323, E6-2  Dr. Minyoung You  The relation between free and interacting fermionic SPT phases file
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