passing values: 1 to 1

• for templates just use last_used for now
• create a network
• create an input
• an input is an unspecified source of neural activity
• set the number of dimensions for the unspecified source of neural activity
• set the functions
• these are the values for the each dimension of the input
• taken together these values form a vector with n dimensions
• create an ensemble
• an ensemble is a group of neurons
• set the number of dimensions
• this specifies the dimensionality of the vectors that can be held
• create a termination for the ensemble
• the default is for it to have the same number of dimensions as the ensemble
• the default is for a 1 to 1 mapping between the termination and the ensemble
• the number of dimensions in the termination must match the number of dimensions being outputted to it
• the number of dimensions in the termination does not need to match the number of dimensions in the ensemble and the mapping does not need to be 1 to 1 (more on this later)