Simulation of the developmental migration of neocortical inhibitory neurons, using CX3D.

Abstract

Event Abstract Back to Event Simulation of the developmental migration of neocortical inhibitory neurons, using CX3D. Andreas Hauri1*, Frederic Zubler1 and Rodney Douglas1 1 Institute of Neuroinformatics, ETHZ/UZH, Switzerland We are exploring the self-construction of the neocortex from its precursor cells by detailed simulations of the cortical developmental process. In previous work we have demonstrated how the laminar organization of pyramidal neurons arises from a few precursor cells. Now we show how the inhibitory cells migrate into this laminar structure. Inhibitory neurons play a crucial role in information processing by the mammalian neocortex. Their range of effect is much more localized than that of typical pyramidal neurons, and so their laminar location in the grey matter is important for their functionality. Their placement is an emergent property of a complex developmental process. Various types of pyramidal neurons are generated successively by precursors in the ventricular and subventricular zone, and migrate radially to create the basic laminar organization of the cortical grey matter. By contrast, the majority of inhibitory neurons arise in the ganglionic eminence at the ventral margin of the cortex. From there they must migrate tangentially through the developing cortex in a dorsal direction, stop at a specific location in the cortical sheet, and finally nest at particular laminar depth. Inhibitory neurons born later in the eminence settle in progressively more dorsal positions in cortex, so providing an even distribution of inhibitory neurons throughout cortex. We have studied this tangential migration using CX3D, which provides tools for the simulating the biology and physics of cell replication, migration, and interaction. We have been able to demonstrate the key features of the migration: cell division in the ganglionic eminence; migration of neurons through cortex; and their settling at their final location in cortex. Younger neurons end their migration earlier than older neurons, as observed in biology. There is no global controller in our simulations. Instead, each cell controls its own behavior based on sensed chemical gradients and concentrations of morphogenic factors. Hence the inherent biological property of inhibitory neurons to localize themselves appropriately for their function is reflected properly in our model. This research was supported by the EU Grant FP7-216593 "SECO". Conference: Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010. Presentation Type: Poster Presentation Topic: General neuroinformatics Citation: Hauri A, Zubler F and Douglas R (2010). Simulation of the developmental migration of neocortical inhibitory neurons, using CX3D.. Front. Neurosci. Conference Abstract: Neuroinformatics 2010 . doi: 10.3389/conf.fnins.2010.13.00025 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 09 Jun 2010; Published Online: 09 Jun 2010. * Correspondence: Andreas Hauri, Institute of Neuroinformatics, ETHZ/UZH, Zürich, Switzerland, haurian@student.ethz.ch Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Andreas Hauri Frederic Zubler Rodney Douglas Google Andreas Hauri Frederic Zubler Rodney Douglas Google Scholar Andreas Hauri Frederic Zubler Rodney Douglas PubMed Andreas Hauri Frederic Zubler Rodney Douglas Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.