Title :
Recent progress on neural models of seeing and visualisation
Author :
Aleksander, Igor ; Dunmall, Barry ; Frate, Valentina Del
Author_Institution :
Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
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. The authors 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 that this module interacts with others in the system. The paper discloses the first set of results from this ongoing research project
Keywords :
data visualisation; learning (artificial intelligence); neural nets; visual perception; firing patterns; neural models; neural module; neural system; seeing models; visual awareness; visual input; visualisation; Displays; Educational institutions; Encoding; Neurons; Organisms; Shape; Systems engineering and theory; Visual system; Visualization;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.843952
