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• W2317643150 abstract "Event Abstract Back to Event Engineering the mind: a system engineering approach to modelling the brain Rob Haigh1* 1 Member of the Institute of Engineering and Technology, Independent Researcher, United Kingdom System engineering techniques, in particular those used for software engineering, have been developing over a number of years to support the design of highly complex Man-made systems. System engineers build a top down hierarchical design of a system that abstracts complexity, allowing engineers working on individual parts of the system to have a common view of how their own elements interact with others. To do this the system is decomposed into subsystems, and the definition of the interfaces between each subsystem is rigorously maintained. This paper proposes the use of the same techniques to reverse engineering a model of the brain. It uses a system engineering approach to develop a theory of the high level functional (as opposed to physical) architecture of the brain, and from this decomposes the system in to a number of specialised subsystems with defined interfaces. Reverse engineering the mind has the added complication that not only is the architecture unknown, but so is the underlying technology used to build the architecture. An expandable framework for these underlying technologies has therefore been defined. This includes a generic model of a spiking neuron, and its specialisations. Neurons can be connected together in networks and the arrangement of the neurons in these networks has also been included in the framework. These have been called design patterns, a term which is used in software engineering to denote a general reusable solution to a commonly occurring problem. As part of the research a first iteration of the model that uses the framework has been developed in C#. This has already provided an interesting insight into the way thoughts could be orchestrated, and may help to explain some of the basic characteristics of the mind. Keywords: brain architecture, neural networks, system engineering, brain model, computational modeling Conference: Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, 2013. Presentation Type: Poster Topic: Computational neuroscience Citation: Haigh R (2013). Engineering the mind: a system engineering approach to modelling the brain. Front. Neuroinform. Conference Abstract: Neuroinformatics 2013. doi: 10.3389/conf.fninf.2013.09.00001 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: 05 Jul 2013; Published Online: 11 Jul 2013. * Correspondence: Mr. Rob Haigh, Member of the Institute of Engineering and Technology, Independent Researcher, London, United Kingdom, rob@haighfamily.me.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 Rob Haigh Google Rob Haigh Google Scholar Rob Haigh PubMed Rob Haigh 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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• W2317643150 title "Engineering the mind: a system engineering approach to modelling the brain" @default.
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