Neurons to Algorithms neural circuit model development platform

Abstract

Event Abstract Back to Event Neurons to Algorithms neural circuit model development platform Derek Trumbo1*, Christina Warrender1, James Aimone1, Corinne Teeter1 and Fred Rothganger1 1 Sandia National Laboratories , United States We are developing a software package "Neurons to Algorithms", or "N2A". The scientific purpose of N2A is to facilitate biologically realistic neural network model development by 1) compiling (and referencing) neural data from many users and sources in a computable format, 2) automating the model development process by constructing models specific to an individual user’s research goals, and 3) integrating the process by which a model is simulated and analyzed. A priority in the system’s design is maximizing both the utility and usability for neuroscientists. In contrast to many scientific tools with open source intentions, we have focused considerable effort towards user interface. Users are able to generate models at multiple levels of resolution (spiking or firing rate; point neuron or morphological; networks or individual neurons). The tool has been designed to operate in either a local mode, where the user creates their own database of biological information and details necessary for their modeling, or a distributed mode where users can create models from a community database. Our vision is that this community database will enable the generation and sharing of high fidelity model components across laboratories. In order to take full advantage of the rapidly expanding neural data sets available, N2A will directly interface the modeling database (in which neuroscience data is represented in a computable format) with existing neuroinformatics databases on anatomy, gene expression, whose data is typically represented in a more conventional format. Furthermore, we plan to integrate N2A with existing simulation platforms that are widely used in the community for specific research questions (e.g., Neuron). We will demonstrate the N2A platform using a model of the hippocampus (Aimone et al, 2009). Keywords: Large scale modeling, Software Development, neural network modeling, data sharing, simulation platforms Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Demo Topic: Neuroinformatics Citation: Trumbo D, Warrender C, Aimone J, Teeter C and Rothganger F (2014). Neurons to Algorithms neural circuit model development platform. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00104 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: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Derek Trumbo, Sandia National Laboratories, unset, United States, dtrumbo@sandia.gov 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 Derek Trumbo Christina Warrender James Aimone Corinne Teeter Fred Rothganger Google Derek Trumbo Christina Warrender James Aimone Corinne Teeter Fred Rothganger Google Scholar Derek Trumbo Christina Warrender James Aimone Corinne Teeter Fred Rothganger PubMed Derek Trumbo Christina Warrender James Aimone Corinne Teeter Fred Rothganger 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.