{"id":16,"date":"2010-01-26T01:16:49","date_gmt":"2010-01-25T23:16:49","guid":{"rendered":"http:\/\/blog.teleranek.org\/?p=16"},"modified":"2025-06-29T12:29:29","modified_gmt":"2025-06-29T10:29:29","slug":"as3-pixelbender-and-neuro-science-experimentation","status":"publish","type":"post","link":"https:\/\/blog.teleranek.org\/?p=16","title":{"rendered":"AS3 PixelBender and Neuro Science experimentation"},"content":{"rendered":"

Several experiments with flash pixel bender kernels and neuroscience math.
\nFirst is the 2D grid of coupled neural oscillators ( the neuroscientific equivalent of usual coupled oscillators descripted by some differential equations. Nice example is a double pendulum<\/a> on youtube ).
\nSo every pixel behaves like an oscillator and gives its energy to neighboring pixels. I’ve decided to store the energy in alpha component of 32 pixel.
\nOn every render action, I’m stripping this alpha component and showing only 24 bit pixels:
\n
\nmainBmp.bitmapData.applyFilter( mainBmp.bitmapData , mainBmp.bitmapData.rect , pt , shader );
\nbufBmp.bitmapData.copyPixels( mainBmp.bitmapData , mainBmp.bitmapData.rect , pt , null , null , false );
\n<\/code>
\nThe last argument of copyPixels function tells flash to skip the alpha component. “shader” ( last argument of mainBmp’s applyFilter ) is the pixel bender filter.
\nThis is the .as source: sine_pixel.as<\/a>
\nAnd this is the kernel source: neur.pbk<\/a>
\nCompiled kernel: neur.pbj<\/a><\/p>\n

CLICK<\/a> to see online simulation. Pretty cpu demanding, but it’s 256×256 oscillators grid. Click and drag on the stage like you were drawing, to start oscillation ( in the beginning the grid is synchronized ).
\nThis is how it behaves in pure actionscript( flash player 10 needed, because I’ve optimized it using the Vector class ): sine_waves.swf<\/a> … it has lower resolution though, 100×100. ( source<\/a> )<\/p>\n

The big resolution version ( 512×512 ): sine-hi.swf<\/a>. CPU burning shader. I didn’t optimize it too much, maybe something can be changed to speed it up even more.<\/p>\n

Ok, so that was the oscillation. There’s one more thing – grid of Sodium-Potassium neurons from previous post. I wanted to check if it’s going to be faster with pixel bender. And indeed – it is.
\nThis is the source<\/a> . I’m simulating current and the neuron response:
\n
\nmainBmp.bitmapData.applyFilter( mainBmp.bitmapData , mainBmp.bitmapData.rect , pt , shader );
\n\t\t\tvBmp.bitmapData.copyChannel( mainBmp.bitmapData , mainBmp.bitmapData.rect , pt , BitmapDataChannel.RED, BitmapDataChannel.RED );
\n\t\t\tnBmp.bitmapData.copyChannel( mainBmp.bitmapData , mainBmp.bitmapData.rect , pt , BitmapDataChannel.BLUE, BitmapDataChannel.BLUE );
\n<\/code>
\nOn every frame, I’m applying the shader on bitmap. Red component of pixel is the neuron response, green is the input current and blue is the gating variable. This time, I’m leaving alpha component alone. Because of this approach, I must copy RED channel from shaded bitmap to output bitmap, to see the graphical illustration of neuron response. The same thing happens with BLUE channel, which I copy to another bitmap. This is the kernel source: model.pbk<\/a>. And this is the compiled kernel: model.pbj<\/a><\/p>\n

Finally, 4 online demos. Try clicking the stage to generate some input current.
\n256×256 grid, first bitmap illustrates neuron response, second – gating var<\/a> ( click the left bitmap )
\nThe same as previous, but 512×512 grid<\/a>
\n512×512 neuron response grid<\/a>
\n512×512 gating var grid<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Several experiments with flash pixel bender kernels and neuroscience math. First is the 2D grid of coupled neural oscillators ( the neuroscientific equivalent of usual coupled oscillators descripted by some differential equations. Nice example is a double pendulum on youtube ). So every pixel behaves like an oscillator and gives its energy to neighboring pixels. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[18,44,43,47,46,42,45],"class_list":["post-16","post","type-post","status-publish","format-standard","hentry","category-flash-experiments","tag-as3","tag-kernel","tag-neuron-model","tag-neuroscience","tag-oscillators","tag-pixel-bender","tag-shader"],"_links":{"self":[{"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/posts\/16","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=16"}],"version-history":[{"count":1,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/posts\/16\/revisions"}],"predecessor-version":[{"id":358,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=\/wp\/v2\/posts\/16\/revisions\/358"}],"wp:attachment":[{"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=16"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=16"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.teleranek.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=16"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}