title: A simple model can unify a broad range of phenomena in retinotectal map development.
abstract: A paradigm model system for studying the development of patterned connections in the nervous system is the topographic map formed by retinal axons in the optic tectum/superior colliculus. Starting in the 1970s, a series of computational models have been proposed to explain map development in both normal conditions, and perturbed conditions where the retina and/or tectum/superior colliculus are altered. This stands in contrast to more recent models that have often been simpler than older ones, and tend to address more limited data sets, but include more recent genetic manipulations. The original exploration of many of the early models was one-dimensional and limited by the computational resources of the time. This leaves open the ability of these early models to explain both map development in two dimensions, and the genetic manipulation data that have only appeared more recently. In this article, we show that a two-dimensional and updated version of the XBAM model (eXtended Branch Arrow Model), first proposed in 1982, reproduces a range of surgical map manipulations not yet demonstrated by more modern models. A systematic exploration of the parameter space of this model in two dimensions also reveals richer behavior than that apparent from the original one-dimensional versions. Furthermore, we show that including a specific type of axon-axon interaction can account for the map collapse recently observed when particular receptor levels are genetically manipulated in a subset of retinal ganglion cells. Together these results demonstrate that balancing multiple influences on map development seems to be necessary to explain many biological phenomena in retinotectal map formation, and suggest important constraints on the underlying biological variables.
authors.affiliation: Queensland Brain Institute, The University of Queensland, Brisbane, Australia. hugh.simpson@uqconnect.edu.au
authors.forename: Hugh D
authors.initials: HD
authors.lastname: Simpson
authors.forename: Geoffrey J
authors.initials: GJ
authors.lastname: Goodhill
mesh_terms: D000465:Algorithms; D000818:Animals; D001369:Axons / Q000502:physiology; D001931:Brain Mapping / Q000379:methods / Q000706:statistics & numerical data; D003198:Computer Simulation; D003491:Cybernetics; D036342:Ephrins / Q000502:physiology; D008959:Models, Neurological; D036081:Receptors, Eph Family / Q000502:physiology; D012160:Retina / Q000254:growth & development / Q000502:physiology*; D012165:Retinal Ganglion Cells / Q000502:physiology; D013045:Species Specificity; D013477:Superior Colliculi / Q000254:growth & development / Q000502:physiology*
chemical_list: D036342:Ephrins; D036081:Receptors, Eph Family