Bio-inspired Model of Spatial Cognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00190983" target="_blank" >RIV/68407700:21230/11:00190983 - isvavai.cz</a>
Result on the web
<a href="http://bio.felk.cvut.cz/~vavrecka/articles/vavrecka_ICONIP2011.pdf" target="_blank" >http://bio.felk.cvut.cz/~vavrecka/articles/vavrecka_ICONIP2011.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Bio-inspired Model of Spatial Cognition
Original language description
We present the results of an ongoing research in the area of symbol grounding. We develop a biologically inspired model for grounding the spatial terms that employs separate visual what and where subsystems that are integrated with the symbolic linguistic subsystem in the simplified neural model. The model grounds color, shape and spatial relations of two objects in 2D space. The images with two objects are presented to an artificial retina and five-word sentences describing them (e.g. ``Red box above green circle'') with phonological encoding serve as auditory inputs. The integrating multimodal module is implemented by Self-Organizing Map or Neural Gas algorithms in the second layer. We found out that using NG leads to better performance especially incase of the scenes with higher complexity, and current simulations also reveal that splitting the visual information and simplifying the objects to rectangular monochromatic boxes facilitates the performance of the where system and henc
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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