Event Abstract Back to Event Topographica: Computational Modeling of Neural Maps Christopher Ball1* and James Bednar1 1 University of Edinburgh, United Kingdom Topographica is designed to make large-scale computational modeling of the development, structure, and function of topographic neural maps practical. Models can be built that focus on structural, functional, or integrative phenomena, either in the visual cortex or in other sensory or motor areas. The Topographica software package currently provides: Arbitrary feedforward, lateral, and feedback connectivity patterns, and adaptation/self-organization, using firing rate or simple spiking neuron models; Automatic generation of inputs for modelling development and for testing, allowing user control of the statistical environment, based on natural or computer-generated inputs; A graphical user interface for designing networks and experiments, with integrated visualization and analysis tools for understanding the results, as well as for validating models through comparison with experimental results. Rapid, interactive prototyping of multiple, large maps is possible on desktop workstations; automatic scaling to network arrangements and phenomena at larger scales, along with a batch mode for submitting jobs to clusters, allows simulation at greater levels of detail. Freely available from topographica.org and written in Python, Topographica is easily extensible by users, and runs on Windows, Macintosh, and Linux. We invite neural map researchers in all fields to begin using Topographica, to help establish a community of researchers who can share code, models, and approaches. In this demo, we will show how models running in other simulators can be analyzed in a rich, consistent framework using Topographica. This research was supported in part by the US National Institute of Mental Health under Human Brain Project grant R01-MH66991, and by the UK EPSRC-funded Neuroinformatics Doctoral Training Centre at the University of Edinburgh. Conference: Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009. Presentation Type: Oral Presentation Topic: Computational neuroscience Citation: Ball C and Bednar J (2019). Topographica: Computational Modeling of Neural Maps. Front. Neuroinform. Conference Abstract: Neuroinformatics 2009. doi: 10.3389/conf.neuro.11.2009.08.120 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: 25 May 2009; Published Online: 09 May 2019. * Correspondence: Christopher Ball, University of Edinburgh, Edinburgh, United Kingdom, chris.ball@ed.ac.uk 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 Christopher Ball James Bednar Google Christopher Ball James Bednar Google Scholar Christopher Ball James Bednar PubMed Christopher Ball James Bednar 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.