PlaNeural: spiking neural networks that plan

Mitchell, Ian ORCID: https://orcid.org/0000-0002-3882-9127, Huyck, Christian R. ORCID: https://orcid.org/0000-0003-4015-3549 and Evans, Carl ORCID: https://orcid.org/0000-0002-3109-595X (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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Abstract

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.

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