1.1 --- a/org/movement.org	Tue Feb 14 04:35:40 2012 -0700
     1.2 +++ b/org/movement.org	Tue Feb 14 04:52:23 2012 -0700
     1.3 @@ -28,23 +28,23 @@
     1.4  called the motor pool. The brain essentially says "activate 30% of the
     1.5  motor pool" and the spinal cord recruits motor neurons untill 30% are
     1.6  activated. Since the distribution of power among motor neurons is
     1.7 -unequal and recruitment goes from weakest to strongest, 30% of the
     1.8 -motor pool might be 5% of the strength of the muscle.
     1.9 +unequal and recruitment goes from weakest to strongest, the first 30%
    1.10 +of the motor pool might be 5% of the strength of the muscle.
    1.11  
    1.12  My simulated muscles follow a similiar design: Each muscle is defined
    1.13 -by a 1-D array of numbers (the "motor pool"). Each number represents a
    1.14 -motor neuron which controlls a number of sarcomeres equal to the
    1.15 -number. A muscle also has a scalar :strength factor which determines
    1.16 -the total force the muscle can exert when all motor neurons are
    1.17 -activated.  The effector function for a muscle takes a number to index
    1.18 -into the motor pool, and that number "activates" all the motor neurons
    1.19 -whose index is lower or equal to the number.  Each motor-neuron will
    1.20 -apply force in proportion to its value in the array.  Lower values
    1.21 -cause less force.  The lower values can be put at the "beginning" of
    1.22 -the 1-D array to simulate the layout of actual human muscles, which
    1.23 -are capable of more percise movements when exerting less force. Or,
    1.24 -the motor pool can simulate more exoitic recruitment strageties which
    1.25 -do not correspond to human muscles. 
    1.26 +by a 1-D array of numbers (the "motor pool"). Each entry in the array
    1.27 +represents a motor neuron which controlls a number of sarcomeres equal
    1.28 +to the value of the entry. A muscle also has a scalar :strength factor
    1.29 +which determines the total force the muscle can exert when all motor
    1.30 +neurons are activated.  The effector function for a muscle takes a
    1.31 +number to index into the motor pool, and that number "activates" all
    1.32 +the motor neurons whose index is lower or equal to the number.  Each
    1.33 +motor-neuron will apply force in proportion to its value in the array.
    1.34 +Lower values cause less force.  The lower values can be put at the
    1.35 +"beginning" of the 1-D array to simulate the layout of actual human
    1.36 +muscles, which are capable of more percise movements when exerting
    1.37 +less force. Or, the motor pool can simulate more exoitic recruitment
    1.38 +strageties which do not correspond to human muscles.
    1.39  
    1.40  This 1D array is defined in an image file for ease of
    1.41  creation/visualization. Here is an example muscle profile image.