YNIMG Journal 2009 Journal Article
- Andrew T. Reid
- Antje Krumnack
- Egon Wanke
- Rolf Kötter
Although information flow in the neocortex has an apparent hierarchical organization, there is much ambiguity with respect to the definition of such a hierarchy, particularly in higher cortical regions. This ambiguity has been addressed by utilizing observable anatomical criteria, based upon tract tracing experiments, to constrain the definition of hierarchy [Felleman D. J. and van Essen D. C. , 1991. Distributed hierarchical processing in the primate. Cereb. Cortex. 1(1), 1–47. ]. There are, however, a high number of equally optimal hierarchies that fit these constraints [Hilgetag C. C. , O'Neill M. A. , Young M. P. , 1996. Indeterminate organization of the visual system. Science. 271(5250), 776–777. ]. Here, we propose a refined constraint set for optimization which utilizes continuous, rather than discrete, hierarchical levels, and permits a range of acceptable values rather than attempting to fit fixed hierarchical distances. Using linear programming to obtain hierarchies across a number of range sizes, we find a clear hierarchical pattern for both the original and refined versions of the Felleman and Van Essen [Felleman D. J. and van Essen D. C. , 1991. Distributed hierarchical processing in the primate. Cereb. Cortex. 1(1), 1–47. ] visual network. We also obtain an optimal hierarchy from a refined set of anatomical criteria which allows for the direct specification of hierarchical distance from the laminar distribution of labelled cells (Barone P. , Batardiere A. , Knoblauch K. , Kennedy H. , 2000. Laminar distribution of neurons in extrastriate areas projecting to visual areas V1 and V4 correlates with the hierarchical rank and indicates the operation of a distance rule. J. Neurosci. 20(9), 3263–3281.), and discuss the limitations and further possible refinements of such an approach.