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Updated: Oct 29, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
Published on: March 8, 2024
NetworkDynamics.jl-Composing and simulating complex networks in Julia
Michael Lindner1, Lucas Lincoln1, Fenja Drauschke1
1Potsdam Institute for Climate Impact Research, Telegrafenberg A31, 14473 Potsdam, Germany.
Abstract:
NetworkDynamics.jl is an easy-to-use and computationally efficient package for simulating heterogeneous dynamical systems on complex networks, written in Julia, a high-level, high-performance, dynamic programming language. By combining state-of-the-art solver algorithms from DifferentialEquations.jl with efficient data structures, NetworkDynamics.jl achieves top performance while supporting advanced features such as events, algebraic constraints, time delays, noise terms, and automatic differentiation.
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