Gießen and the Virgin
Some early experiment data with the Veiled Virgin. I could explain it, but it would give away the study before we even started. So, you’ll have to just do your best to figure out what is going on for now.
Of course I’ll report back soon.
I’m changing things
Yes, this is that classic ‘under construction’ post.
I’m moving things around. Cleaning things up. Posting PDFs. Singing a little song.
Visual & Haptic Geometry of 3D Shape Discrimination
Phillips, F., O’Donnell, E. & Kernis, N. Visual and haptic geometry of 3D shape discrimination. Journal of Vision 15, 866–866 (2015). PDF
Some preliminary work on ‘where you look when you’re trying to discriminate 3D objects.’
Turns out, it’s different, depending on if you’re trying to match two visual objects than it is if you’re matching a visual object to a haptic object. This is true for both ‘local’ behavior (e.g., what you’re looking at) and ‘global’ behavior (e.g., how you look at the objects).
Some historical stuff – Functional Imaging before Functional Imaging
Torello, M. W., Phillips, T., Hunter, W. W., Jr. & Csuri, C. A. Combinational Imaging. Journal of Clinical Neurophysiology 4, 274–293 (1987). PDF
Volumetric brain oblique. Rendered on a Pixar Image Computer, circa 1987. This is a schizophrenic male, we did work on mapping EEG data onto the volumetric data, the first ‘functional’ combinational imaging that I am aware of. This all pre-fMRI.
This particular image is from the Pixar Image Computer’s CHAP Volumes software, which I worked on when I first got to Pixar in ’87.
Whatcha lookin’ at?
Some data from Emerson, Max + My summer work. Heat map, where one person looked while making shape discrimination decisions.
I think I’ll take a vacation now.
Omega-style headphone stand
For my birthday I bought myself a nice set of headphones — Grado PS500. They were sitting on my desk, in a pile of coffee stained Natures and strange SkidShop snack-bags.
So I designed and printed the following, inspired by the so-called “Omega” headphone stands that are out there. Check it out at Thingaverse
Oh and a shout-out to McNeel and Assoc for letting me be part of the Rhino for Macintosh beta-group.
Wolfram Programming Cloud
You can create this:
[WolframCloudAPI id=”a99541cf-90ab-4b52-ab5c-cd6b632f4c7f” rule=”62″ step=”30″]With this:
[wlcode] CloudDeploy[APIFunction[{“rule” -> Restricted[“Number”, {0, 255, 1}] -> 30,
“step” -> Restricted[“Number”, {0, Infinity, 1}] -> 50
},
ArrayPlot[CellularAutomaton[#rule, {{1}, 0}, #step],
Frame -> False] &,
“PNG”
], Permissions -> “Public”] [/wlcode]
Fun! Check out some of the fun stuff here https://www.wolframcloud.com
A day of problem solving pictures.
One of the things I love about using Mathematica is that it helps me better understand the nature of my programming and problem solving.
It’s a great tool to help make sense of problems, see your errors, verify and validate your computations.
Here is a set of 26 images from today’s efforts to solve a particular problem of differential geometry on densely sampled meshes.
