PlaNeural: spiking neural networks that plan

Mitchell, Ian ORCID logoORCID:, Huyck, Christian R. ORCID logoORCID: and Evans, Carl ORCID logoORCID: (2016) PlaNeural: spiking neural networks that plan. Procedia Computer Science, Volume 88. In: 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016, 16 Jul 2016, New York City, NY, USA. . ISSN 2212-683X [Conference or Workshop Item] (doi:10.1016/j.procs.2016.07.425)

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PlaNeural is a spike-based neural network that has the ability to plan. The network is a spreading activation network implemented with Cell Assemblies; this combination has built a dynamic network of nodes that is able to interact with an environment and respond appropriately. PlaNeural uses Cell Assemblies to make decisions and plan - there is no pre-determined code managing the decision process that leads to planning. PlaNeural is the planning component of a virtual robot in a virtual environment. This paper describes PlaNeural's behaviour in two virtual environments, programmed independently of it; actions are completed in a closed-loop. PlaNeural was programmed in PyNN, executed with Nest and on a neuromorphic platform, SpiNNaker. PlaNeural has been tested on two environments and results show a successful performance; in both cases PlaNeural takes appropriate actions to fulfil user selected goals based on environmental changes.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Ian Mitchell, Christian Huyck, Carl Evans, PlaNeural: Spiking Neural Networks that Plan, Procedia Computer Science, Volume 88, 2016, Pages 198-204, ISSN 1877-0509,
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 20790
Notes on copyright: Selection and peer-review under responsibility of the Scientific Programme Committee of BICA 2016
© The Authors. Published by Elsevier B.V.
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Depositing User: Ian Mitchell
Date Deposited: 25 Oct 2016 09:38
Last Modified: 29 Nov 2022 21:49

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