Jimin Kim

Modular integration of neural connectomics, dynamics and biomechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans

The paper introduces modWorm, a modular framework for modeling C. elegans neuro-mechanics, and shows it can simulate and analyze sensorimotor behaviors and neural circuits.

ElectroPhysiomeGAN: Generation of Biophysical Neuron Model Parameters from Recorded Electrophysiological Responses

The paper introduces EP-GAN, a deep learning method to generate Hodgkin-Huxley neuron model parameters from electrophysiological recordings, showing improved accuracy and speed compared to existing methods.

Neural Interactome: Interactive Simulation of a Neuronal System

The paper introduces Neural Interactome, a real-time framework for visualizing and interacting with neuronal network structure and dynamics, applied to C. elegans.

Functional Connectomics from Data: Probabilistic Graphical Models for Neuronal Network of C. elegans

The paper develops a probabilistic graphical model to represent neuronal network dynamics in C. elegans, capturing functional dependencies through dimensionality reduction and posterior inference.