1.1 --- a/thesis/cortex.org	Fri May 02 14:08:09 2014 -0400
     1.2 +++ b/thesis/cortex.org	Fri May 02 14:16:35 2014 -0400
     1.3 @@ -2565,11 +2565,11 @@
     1.4  
     1.5  ** Action recognition is easy with a full gamut of senses
     1.6  
     1.7 -   Embodied representations using multiple senses such as touch,
     1.8 +   Embodied representation using multiple senses such as touch,
     1.9     proprioception, and muscle tension turns out be exceedingly
    1.10     efficient at describing body-centered actions. It is the right
    1.11     language for the job. For example, it takes only around 5 lines of
    1.12 -   LISP code to describe the action of curling using embodied
    1.13 +   clojure code to describe the action of curling using embodied
    1.14     primitives. It takes about 10 lines to describe the seemingly
    1.15     complicated action of wiggling.
    1.16  
    1.17 @@ -2770,8 +2770,7 @@
    1.18     require!
    1.19  
    1.20     The trick now is to make the action predicates work even when the
    1.21 -   sensory data on which they depend is absent. If I can do that, then
    1.22 -   I will have gained much.
    1.23 +   sensory data on which they depend is absent!
    1.24  
    1.25  ** \Phi-space describes the worm's experiences
    1.26     
    1.27 @@ -2871,6 +2870,7 @@
    1.28        1     1     1     1     1     1     1     4     
    1.29        2     2     2     2     2     2     2   
    1.30        3     3     3     3     3     3     3
    1.31 +      6     6     6     6     6     6     6
    1.32        7     7     7     7     7     7     7
    1.33        8     8     8     8     8     8     8
    1.34        9     9     9     9     9     9     9