GraphDynamics.jl: Efficient, scalable neuronal dynamics
GraphDynamics.jl is an open source tool developed for Neuroblox.jl with the goal of efficiently representing systems composed of many, heterogeneous, interacting subsystems so that their dynamics can be solved with existing SciML differential equation solvers. In this talk I'll discuss how it works, why we need this functionality, and what advantages this has over other approaches
GraphDynamics.jl is an open source tool developed for Neuroblox.jl with the goal of efficiently representing systems composed of many, heterogeneous, interacting subsystems so that their dynamics can be solved with existing SciML differential equation solvers. In this talk I'll discuss how it works, why we need this functionality, and what advantages this has over other approaches
I'm a long time Julia user and passionate programmer. My background is in physics, but I'm currently working with Neuroblox.jl to develop computational neuroscience software in Julia. I like tinkering with interesting problems, and helping people use Julia.