A5004229823- Neural dynamics and brain function
- Receptor Mechanisms and Signaling
- Advanced Chemical Sensor Technologies
- Olfactory and Sensory Function Studies
- Computational Drug Discovery Methods
- Neurobiology and Insect Physiology Research
- Chromosomal and Genetic Variations
- Hydrogen Storage and Materials
- Genomics and Chromatin Dynamics
- Memory and Neural Mechanisms
- Protein Structure and Dynamics
- Enzyme Structure and Function
- Optimal Experimental Design Methods
- Gene expression and cancer classification
- Cell Image Analysis Techniques
- Zebrafish Biomedical Research Applications
- Sensory Analysis and Statistical Methods
- Nicotinic Acetylcholine Receptors Study
- Lipid Membrane Structure and Behavior
- Gene Regulatory Network Analysis
- Carbon Dioxide Capture Technologies
- Nanopore and Nanochannel Transport Studies
- Aerosol Filtration and Electrostatic Precipitation
- Reinforcement Learning in Robotics
- Supramolecular Self-Assembly in Materials
Korea Institute for Advanced Study
2016-2024
University of California, San Francisco
2023-2024
Lawrence Berkeley National Laboratory
2023
University of California, Berkeley
2020-2021
Center for Theoretical Biological Physics
2019-2021
Princeton University
2014-2018
Korea Institute of Atmospheric Prediction Systems
2018
Max Planck Institute for Dynamics and Self-Organization
2016
Korea Advanced Institute of Science and Technology
2012
Abstract Scientific progress depends on reliable and reproducible results. Progress can also be accelerated when data are shared re-analyzed to address new questions. Current approaches storing analyzing neural typically involve bespoke formats software that make replication, as well the subsequent reuse of data, difficult if not impossible. To these challenges, we created Spyglass , an open-source framework enables analyses sharing both intermediate final results within across labs. uses...
Binding of odorants to olfactory receptors (ORs) elicits downstream chemical and neural signals, which are further processed odor perception in the brain. Recently, Mainland colleagues have measured more than 500 pairs odorant-OR interaction by a high-throughput screening assay method, opening new avenue understanding principles human coding. Here, using recently developed minimal model for OR activation kinetics, we characterize statistics terms three empirical parameters: half-maximum...
Chromosomes are giant chain molecules organized into an ensemble of three-dimensional structures characterized with its genomic state and the corresponding biological functions. Despite strong cell-to-cell heterogeneity, cell-type specific pattern demonstrated in high-throughput chromosome conformation capture (Hi-C) data hints at a valuable link between structure function, which makes inference chromatin domains (CDs) from Hi-C central problem genome research. Here we present unified method...
Open-site paddle wheels, comprised of two transition metals bridged with four carboxylate ions, have been widely used for constructing metal–organic frameworks large surface area and high binding energy sites. Using first-principles density functional theory calculations, we investigated atomic electronic structures various 3d metal wheels before after exposure their hydrogen adsorption properties at open Notably, the is impeded by covalent metal–metal bonds in early from Sc to Cr strong...
Psychometric functions (PFs) quantify how external stimuli affect behavior, and they play an important role in building models of sensory cognitive processes. Adaptive stimulus-selection methods seek to select that are maximally informative about the PF given data observed so far experiment thereby reduce number trials required estimate PF. Here we develop new adaptive for flexible tasks with two or more alternatives. We model a multinomial logistic regression mixture incorporates realistic...
We develop a rigorous mathematical model of aqueous mineral carbonation kinetics for carbon capture and utilization (CCU) estimate the parameter posterior distribution using Bayesian estimation framework lab-scale experiments. conduct 16 experiments according to orthogonal array design an additional one experiment test. The considers gas–liquid mass transfer, solid dissolution, ionic reactions, precipitations, discrete events in form differential algebraic equations (DAEs). framework, which...
The circuits of olfactory signaling are reminiscent complex computational devices. receptor code, which represents the responses receptors elicited by stimuli, is effectively an input code for neural computation odor sensing. Here, analyzing a recent dataset odorant-dependent human (ORs), we show that space codes partitioned into modular structure where groups “labeled” key features. Our analysis reveals low-dimensional in perception, with as bases to represent major features perceptual...
Abstract Understanding how animals update their decision-making behavior over time is an important problem in neuroscience. Decision-making strategies evolve the course of learning, and continue to vary even well-trained animals. However, standard suite behavioral analysis tools ill-equipped capture dynamics these strategies. Here, we present a flexible method for characterizing time-varying during experiments. We show that it successfully captures trial-to-trial changes animal’s sensitivity...
Lipid rafts, which are dynamic nanodomains in the plasma membrane, play a crucial role intermembrane processes by clustering together and growing size within plane of membrane while also aligning with each other across different membranes. However, physical origin layer alignment lipid rafts remains to be elucidated. Here, using fluorescence imaging synchrotron X-ray reflectivity phase-separated multilayer system, we find that raft-mimicking Lo domains is regulated distance between bilayers....
Psychometric functions (PFs) quantify how external stimuli affect behavior and play an important role in building models of sensory cognitive processes. Adaptive stimulus selection methods seek to select that are maximally informative about the PF given data observed so far experiment thereby reduce number trials required estimate PF. Here we develop new adaptive for flexible tasks with two or more alternatives. We model a multinomial logistic regression mixture incorporates realistic...
In the brain, all neurons are driven by activity of other neurons, some which maybe simultaneously recorded, but most not. As such, models neuronal need to account for recorded and influences unmeasured neurons. This can be done through inclusion model terms observed external variables (e.g., tuning stimuli) as well latent sources variability. Determining influence groups on each relative is important understand brain functioning. The parameters statistical fit data commonly used gain...