Kiri Choi

The paper shows that Drosophila olfactory receptor neurons use proximity to a bifurcation point to efficiently encode temporal and intensity information from odor signals.

The paper applies compressed sensing to Drosophila connectomics data to reveal how odor information is represented and processed in the brain, showing sparse coding and perceptual saturation effects.

This paper introduces a polymer physics-based method to classify neurons using 3D coordinates, showing it complements existing methods and provides a physical understanding of neuronal morphology.

The paper examines the spatial organization of projection neurons in Drosophila and finds that it correlates with specific olfactory responses and signal integration in higher brain centers.

The paper introduces a portable software library, libStructural, for structural analysis of reaction networks, supporting conservation analysis, flux dependency analysis, and elementary modes enumeration.

This paper infers reaction networks from perturbation data using an evolutionary strategy that evolves network topologies and parameters to match experimental data.

Tellurium Notebook enables reproducible and reusable dynamical models in systems biology by integrating community standards and literate coding practices.

The paper shows that genetic regulation at the population level depends on cell-to-cell variability in regulatory factor concentrations and the 5' UTR of the regulator gene.

Tellurium provides a Python-based platform for systems biology modeling, simulation, and reproducibility using SBML and other standards.

This paper introduces libSBNW, a library for generating and editing SBML layout information, with C and Python APIs and open-source availability.

This paper controls E. coli gene expression noise by analyzing synthetic gene systems and identifying key factors influencing protein copy number variability.