Abstract
How can a system with visual input become capable of visualising what is meant by new combinations of known words? For example, it is possible for most of us to visualise a blue banana with red spots even though such an object would never have formed part of our experience. In this paper we discuss a neural system which is capable of simple forms of this kind of visualisation. It is shown that success in this task depends on the activity of a neural module whose firing patterns represent the ‘visual awareness’ of the system and the way than this module interacts with others in the system. This paper discloses the first set of results from this ongoing research project.
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© 1999 Springer-Verlag Berlin Heidelberg
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Aleksander, I., Dunmall, B., Del Frate, V. (1999). Neurocomputational models of visualisation: A preliminary report. In: Mira, J., Sánchez-Andrés, J.V. (eds) Foundations and Tools for Neural Modeling. IWANN 1999. Lecture Notes in Computer Science, vol 1606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0098238
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DOI: https://doi.org/10.1007/BFb0098238
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