Sterratt David C, Hjorth J J Johannes
Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, UK.
Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, UK.
Vis Neurosci. 2013 Jul;30(4):125-8. doi: 10.1017/S0952523813000254. Epub 2013 Aug 23.
We review and comment on the recent model of Grimbert and Cang of the development of topographically ordered maps from the retina to the superior colliculus. This model posits a phase in which arbors are created in zones permitted by Eph and ephrin signaling, followed by a phase in which activity-dependent synaptic plasticity refines the map. We show that it is not possible to generate the arborization probability functions used in the simulations of Grimbert and Cang using gradients of Ephs and ephrins and the interaction mechanism that Grimbert and Cang propose in their results. Furthermore, the arborization probabilities we do generate are far less sharp than we imagine truly “permissive” ones would be. It remains to be seen if maps can be generated from the nonpermissive arborization probabilities generated from gradients.
我们回顾并评论了格林伯特(Grimbert)和仓(Cang)最近提出的关于从视网膜到上丘的地形有序图谱发育的模型。该模型假定了一个阶段,在此阶段中,树突在由Eph和ephrin信号传导所允许的区域中形成,随后是一个阶段,其中依赖活动的突触可塑性完善了图谱。我们表明,利用Ephs和ephrins的梯度以及格林伯特和仓在其结果中提出的相互作用机制,不可能生成在他们的模拟中所使用的树突化概率函数。此外,我们所生成的树突化概率远不如我们想象中真正“允许性”的概率那样清晰。由梯度产生的非允许性树突化概率是否能够生成图谱还有待观察。