Let me briefly describe what I learned while attempting to run a large simulation on my desktop computer as I think it might be useful to others. Here is the problem: I was forced to run a simulation on my desktop computer because brms couldn’t be installed on my department’s high performance computing (HPC) cluster.
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What do I want to do? In this post, I will demonstrate how it is possible to use the R packages cifti and ciftiTools to get the MNI coordinates of the subcortical voxels in your CIFTI file. This table can then be used to select voxels based on their coordinates and do further things with them like creating masks.
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In my last post a while back, I showed how to load a .json file in to Unity3D without using UXF, which if you can do this, is still the easiest way for experiments. One of the problems with UXF however is that you cannot access the .json file before starting UXF’s session, which is exactly the problem that I ran into here.
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In this post, I quickly show a way to load data into Unity3D using a simple .json file. Note there are other & for the most part simpler ways if you use UXF - Unity Experiment Framework, which provide a way to parse on data via .json out of the box.
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I’ve been experimenting with different materials and shaders in Unity recently. One problem is that especially if you want use the same texture for the same large object you get these nasty tiling effects:
Luckily, I found this obscure shader on Unity’s GitHub page, which is amazing but it asked for something called a map texture, which took me ages to figure out.
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