2 citations · 3 across the 3 of their papers we have counts for
3 papers
q-bio.QM2025
Modular integration of neural connectomics, dynamics and biomechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans
Jimin Kim, Jeremy T. Florman, Julia A. Santos +2
Computational approaches which emulate in-vivo nervous system are needed to investigate mechanisms of the brain to orchestrate behavior. Such approaches must integrate a series of…
q-bio.NC2020★ 2 cited
Deep Reinforcement Learning for Neural Control
Jimin Kim, Eli Shlizerman
We present a novel methodology for control of neural circuits based on deep reinforcement learning. Our approach achieves aimed behavior by generating external continuous stimulati…
q-bio.NC2017★ 1 cited
Functional Connectomics from Data: Probabilistic Graphical Models for Neuronal Network of C. elegans
Hexuan Liu, Jimin Kim, Eli Shlizerman
We propose a data-driven approach to represent neuronal network dynamics as a Probabilistic Graphical Model (PGM). Our approach learns the PGM structure by employing dimension redu…