 
    
    
         
First, we want to emphasis that in all the comparisons, the same tuning
width  is used and the strength of decorrelation feedback
 is used and the strength of decorrelation feedback
 is the only fit parameter.  It does not take much imagination
to see that the quantitative agreements between the theory and the
experiments are good.  Further more, we derived the relationships for
the maximum effects, which are independent of the parameter
 is the only fit parameter.  It does not take much imagination
to see that the quantitative agreements between the theory and the
experiments are good.  Further more, we derived the relationships for
the maximum effects, which are independent of the parameter  and
have been partially confirmed by the experiments.
 and
have been partially confirmed by the experiments.
The decorrelation feedback parameter  is not necessarily the same
for the two effects. Indeed, it could be quite different for different
human subjects and different experimental setups. But the orientation
tuning width
 is not necessarily the same
for the two effects. Indeed, it could be quite different for different
human subjects and different experimental setups. But the orientation
tuning width  should be the same for the two effects and
roughly the same for different human subjects.
 should be the same for the two effects and
roughly the same for different human subjects.
Recent neurophysiological experiments revealed that the surrounding lines did influence the orientation selectivity of cells in primary visual cortex of the cat [13]. Those single cell experiments land further support to our theory. But one should be cautioned that the cells in our theory should be considered as the average over a large population of cells in cortex.
Finally, this is not merely a theory for the development and the adaptation of orientation selective cells, it can account for effect such as human vision adaptation to colors as well (see Appendix). Actually, we believe that the associative decorrelation dynamics captures a general principle of information processing of neural systems and that future experiments could give us more quantitative results to further test our theory and help our understanding of neural systems in general.
 
 
    
   