RF: added a stimulus class.  this class will attempt to subsume all data attributes and subordinate functionality to a singular class model.
RF: beautification
ENH: added a base class for pRF models and fits.  also added a particular instance of the pRF models in pRF (gaussian).
RF: fixed the stimulus model so that it is a standalone model for a stimulus
Update base.py
RF: first pass at a gaussian pRF model and fit procedure
RF: removed the Stimulus class features from config
RF: beautified the execution script
RF: added popeye.stimulus to the imports
RF: removed all features that are now redundant with popeye.prf
RF: moved Stimulus specific features from popeye.utilities
RF: added test for popeye.prf and popeye.stimulus and removed redundancy from previously used tests
Modified the GaussianFit so that once its initialized through GaussianModel.fit(), the grid_search() and gradient_descent() are automatically run and the parameters are bound to the GaussianFit() object.
RF: modified the Stimulus class to more closely match the structure in prf.py
TEST: modified test_gaussian_fit() to reflect the automatic fitting in GaussianFit.__init__()
RF: added @property decorator to the GaussianFit class
RF: added optional arguments to the Stimulus class
Merge pull request #8 from kdesimone/kapital

Kapital