On the Distribution of Orientation Tuning in Rodent Visual Cortex
Experimental studies, indicate that the populations in the six layers of visual cortex serve specific, distinct functions. While the tuning information enters cortex in layers four and six, it is unclear how the information spreads to the other populations in the network. One reason for this is that in this very complex system, only recently enough data has become available to start investigate the large number of projections which are relevant for the process. We apply a recently published large scale neural network model of primary visual cortex to investigate the mechanisms of the information spread throughout the system. In particular, we are interested in determining which interactions are relevant for efficient distribution and where the selectivity differences in the various populations stem from. We find that the experimentally observed differences in orientation selectivity between populations are already implied by their connectivity, indicating that cortical connectivity is fine tuned to support the function of the various populations.