1.1 --- a/thesis/cortex.org	Mon Mar 31 08:21:39 2014 -0400
     1.2 +++ b/thesis/cortex.org	Mon Mar 31 08:29:50 2014 -0400
     1.3 @@ -186,7 +186,7 @@
     1.4     model of your body, and aligns the model with the video. Then, you
     1.5     need a /recognizer/, which uses the aligned model to interpret the
     1.6     action. The power in this method lies in the fact that you describe
     1.7 -   all actions form a body-centered viewpoint. You are less tied to
     1.8 +   all actions from a body-centered viewpoint. You are less tied to
     1.9     the particulars of any visual representation of the actions. If you
    1.10     teach the system what ``running'' is, and you have a good enough
    1.11     aligner, the system will from then on be able to recognize running
    1.12 @@ -296,10 +296,10 @@
    1.13     
    1.14  *** Main Results 
    1.15  
    1.16 -   - After one-shot supervised training, =EMPATH= was able recognize a
    1.17 -     wide variety of static poses and dynamic actions---ranging from
    1.18 -     curling in a circle to wiggling with a particular frequency ---
    1.19 -     with 95\% accuracy.
    1.20 +   - After one-shot supervised training, =EMPATH= was able to
    1.21 +     recognize a wide variety of static poses and dynamic
    1.22 +     actions---ranging from curling in a circle to wiggling with a
    1.23 +     particular frequency --- with 95\% accuracy.
    1.24  
    1.25     - These results were completely independent of viewing angle
    1.26       because the underlying body-centered language fundamentally is
    1.27 @@ -381,7 +381,7 @@
    1.28     #+ATTR_LaTeX: :width 12cm
    1.29     [[./images/blender-worm.png]]
    1.30  
    1.31 -   Here are some thing I anticipate that =CORTEX= might be used for:
    1.32 +   Here are some things I anticipate that =CORTEX= might be used for:
    1.33  
    1.34     - exploring new ideas about sensory integration
    1.35     - distributed communication among swarm creatures
    1.36 @@ -542,7 +542,7 @@
    1.37     Most human senses consist of many discrete sensors of various
    1.38     properties distributed along a surface at various densities. For
    1.39     skin, it is Pacinian corpuscles, Meissner's corpuscles, Merkel's
    1.40 -   disks, and Ruffini's endings (\cite{9.01-textbook), which detect
    1.41 +   disks, and Ruffini's endings \cite{textbook901}, which detect
    1.42     pressure and vibration of various intensities. For ears, it is the
    1.43     stereocilia distributed along the basilar membrane inside the
    1.44     cochlea; each one is sensitive to a slightly different frequency of
    1.45 @@ -560,8 +560,8 @@
    1.46     each sense. 
    1.47  
    1.48     Fortunately this idea is already a well known computer graphics
    1.49 -   technique called called /UV-mapping/. The three-dimensional surface
    1.50 -   of a model is cut and smooshed until it fits on a two-dimensional
    1.51 +   technique called /UV-mapping/. The three-dimensional surface of a
    1.52 +   model is cut and smooshed until it fits on a two-dimensional
    1.53     image. You paint whatever you want on that image, and when the
    1.54     three-dimensional shape is rendered in a game the smooshing and
    1.55     cutting is reversed and the image appears on the three-dimensional
    1.56 @@ -651,10 +651,9 @@
    1.57          pipeline. The engine was not built to serve any particular
    1.58          game but is instead meant to be used for any 3D game. 
    1.59  
    1.60 -   I chose jMonkeyEngine3 because it because it had the most features
    1.61 -   out of all the free projects I looked at, and because I could then
    1.62 -   write my code in clojure, an implementation of =LISP= that runs on
    1.63 -   the JVM.
    1.64 +   I chose jMonkeyEngine3 because it had the most features out of all
    1.65 +   the free projects I looked at, and because I could then write my
    1.66 +   code in clojure, an implementation of =LISP= that runs on the JVM.
    1.67  
    1.68  ** =CORTEX= uses Blender to create creature models
    1.69