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A Position Identification and Path Labelling Mechanism for a Neural Model of Visual Awareness

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Abstract

We discuss a mechanism for the representation of location and path references by purely neural means in a digital model of visual awareness. The underlying base awareness model features a “virtual eye” that can look out into a virtual world populated with objects to be recognised. The presented models take in to account location information sensed this virtual eye, as it roves across portions of the sensed world, to identify and represent position information regarding the sensed objects. We further discuss the addition of neural layer structures to the base awareness model to process output from the virtual eye and accordingly handle location and path identification and labelling is described. Planned applications and the context of the modelling of location and path recognition in the context of motion verb recognition are then considered. It is accordingly seen that this work enables a visual awareness model to identify and represent by purely neural means a trajectory for motion in its sensed world.

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Acknowledgments

The authors would like to thank Rabinder Lee and Peter Liniker for their help and useful suggestions.

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Authors and Affiliations

  1. Imperial College London, South Kensington Campus, London, SW7 2AZ, UK

    Sunil Rao & Igor Aleksander

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  1. Sunil Rao
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  2. Igor Aleksander
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Correspondence to Sunil Rao.

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Rao, S., Aleksander, I. A Position Identification and Path Labelling Mechanism for a Neural Model of Visual Awareness. Cogn Comput 2, 360–372 (2010). https://doi.org/10.1007/s12559-010-9073-0

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  • DOI: https://doi.org/10.1007/s12559-010-9073-0

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