# Neuroscientists using DifferentialEquations.jl ecosystem?

**URL:** <https://discourse.julialang.org/t/neuroscientists-using-differentialequations-jl-ecosystem/31871>\
**Category:** Modelling & Simulations\
**Created:** [December 4, 2019, 8:30pm UTC](https://discourse.julialang.org/t/neuroscientists-using-differentialequations-jl-ecosystem/31871 "2019-12-04T20:30:53Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![Zach\_Christensen](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/zach_christensen/32/7220_2.png) [@Zach\_Christensen](https://discourse.julialang.org/u/Zach_Christensen)\
**Post date:** [April 4, 2020, 12:11pm UTC](https://discourse.julialang.org/t/neuroscientists-using-differentialequations-jl-ecosystem/31871/10 "2020-04-04T12:11:57Z")

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SpikingNeuralNetworks is a really good start on this. The thing I found missing when I briefly played with it was easily composing networks. I have a heap of code that binds LightGraphs to a metadata structure that is more suitable for this sort of thing. It’s littered with notes and untested right now though. I was hoping to have something out weeks ago (nothing official but just to get some conversation going) but some events New York state have disrupted … everything.

Edit: by “more suitable for this sort of thing” I just mean composing networks not the actual neuron attributes that SpikingNeuralNetowrks does.

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