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• W2319314103 abstract "Event Abstract Back to Event A layered description language for spiking neural network modeling Chung-Chuan Lo1* 1 National Tsing Hua University , Institute of Bioinformatics and Structural Biology, Taiwan The neural modeling has a long history in the development of modern neuroscience and has greatly enhanced our understanding in principles of neural activity and interactions between neurons. However, as a rapidly growing field, the neural network modeling has reached a level of complexity which makes the exchange of information between research groups extremely difficult. It also becomes more and more unlikely that the modeling results obtained in one lab be exactly reproduced in another lab which uses a different simulator. The problem arises from the fact that the field of computational neuroscience is lacking appropriate standards to communicate network models. To address this issue, the International Neuroinformatics Coordinating Facility (INCF) has initiated a project: Network Interchange for Neuroscience Modeling Language, or NineML, which provides a standardized machine-readable language for spiking neural network models with an aim to ease model sharing and to facilitate the replication of results across different simulators. In the talk I will introduce the first version of NineML. Its most innovated features includes: 1. Layered: The complete description of a neural network model in NineML is separated into to a user layer and an abstraction layer. The XML-based user layer provides a syntax to specify the instantiation and parameterization of a network model in biological terms. The abstraction layer provides explicitly descriptions of the core concepts, mathematics, model variables and state update rules. 2. Fully self-consistent: All model concepts defined in the user layer are expressed explicitly in the abstraction layer so that a neural network model can be unambiguously implemented by software that fully supports NineML. 3. Highly expandable: future expansions are taken into account in the development of NineML. Hence specific model features that are not supported in the current version of NineML can be easily added in a later version without any major revision to the specification of the language. In the talk I will also demonstrate NineML using several example models of neural networks. I will show how the description looks like in different layers and how NineML solves some difficult problems. Using NineML, researchers can describe their neural network models in an unambiguous and simulator-independent way. Furthermore, the models can be reimplemented and simulation results can be easily reproduced by any simulator which fully supports NineML. We believe that this project will have a profound effect on the modeling community and will facilitate research in computational neuroscience. Conference: Neuroinformatics 2010 , Kobe, Japan, 30 Aug - 1 Sep, 2010. Presentation Type: Oral Presentation Topic: Workshop 1: How to describe a model: description language solutions and challenges Citation: Lo C (2010). A layered description language for spiking neural network modeling. Front. Neurosci. Conference Abstract: Neuroinformatics 2010 . doi: 10.3389/conf.fnins.2010.13.00001 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: 08 Jun 2010; Published Online: 08 Jun 2010. * Correspondence: Chung-Chuan Lo, National Tsing Hua University, Institute of Bioinformatics and Structural Biology, Hsinchu City, Taiwan, cclo@life.nthu.edu.tw 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 Chung-Chuan Lo Google Chung-Chuan Lo Google Scholar Chung-Chuan Lo PubMed Chung-Chuan Lo 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." @default.
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• W2319314103 title "A layered description language for spiking neural network modeling" @default.
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