1.1 --- a/org/vision.org	Fri Mar 28 16:34:35 2014 -0400
     1.2 +++ b/org/vision.org	Fri Mar 28 17:10:43 2014 -0400
     1.3 @@ -174,21 +174,18 @@
     1.4      (bind-sense target cam) cam))
     1.5  #+end_src
     1.6  
     1.7 -#+results: add-eye
     1.8 -: #'cortex.vision/add-eye!
     1.9 -
    1.10  Here, the camera is created based on metadata on the eye-node and
    1.11  attached to the nearest physical object with =bind-sense=
    1.12  ** The Retina
    1.13  
    1.14  An eye is a surface (the retina) which contains many discrete sensors
    1.15 -to detect light. These sensors have can have different light-sensing
    1.16 -properties.  In humans, each discrete sensor is sensitive to red,
    1.17 -blue, green, or gray. These different types of sensors can have
    1.18 -different spatial distributions along the retina. In humans, there is
    1.19 -a fovea in the center of the retina which has a very high density of
    1.20 -color sensors, and a blind spot which has no sensors at all. Sensor
    1.21 -density decreases in proportion to distance from the fovea.
    1.22 +to detect light. These sensors can have different light-sensing
    1.23 +properties. In humans, each discrete sensor is sensitive to red, blue,
    1.24 +green, or gray. These different types of sensors can have different
    1.25 +spatial distributions along the retina. In humans, there is a fovea in
    1.26 +the center of the retina which has a very high density of color
    1.27 +sensors, and a blind spot which has no sensors at all. Sensor density
    1.28 +decreases in proportion to distance from the fovea.
    1.29  
    1.30  I want to be able to model any retinal configuration, so my eye-nodes
    1.31  in blender contain metadata pointing to images that describe the