DocumentCode :
3493955
Title :
Interacting maps for fast visual interpretation
Author :
Cook, Matthew ; Gugelmann, Luca ; Jug, Florian ; Krautz, Christoph ; Steger, Angelika
Author_Institution :
Inst. of Neuroinf., Univ. of Zurich & ETH, Zurich, Switzerland
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
770
Lastpage :
776
Abstract :
Biological systems process visual input using a distributed representation, with different areas encoding different aspects of the visual interpretation. While current engineering habits tempt us to think of this processing in terms of a pipelined sequence of filters and other feed-forward processing stages, cortical anatomy suggests quite a different architecture, using strong recurrent connectivity between visual areas. Here we design a network to interpret input from a neuromorphic sensor by means of recurrently interconnected areas, each of which encodes a different aspect of the visual interpretation, such as light intensity or optic flow. As each area of the network tries to be consistent with the information in neighboring areas, the visual interpretation converges towards global mutual consistency. Rather than applying input in a traditional feed-forward manner, the sensory input is only used to weakly influence the information flowing both ways through the middle of the network. Even with this seemingly weak use of input, this network of interacting maps is able to maintain its interpretation of the visual scene in real time, proving the viability of this interacting map approach to computation.
Keywords :
biology computing; cartography; filtering theory; image sequences; biological systems; cortical anatomy; distributed representation; feed-forward processing stages; global mutual consistency; interacting maps; light intensity; neuromorphic sensor; optic flow; visual interpretation; Adaptive optics; Cameras; Equations; Optical imaging; Optical network units; Optical sensors; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
ISSN :
2161-4393
Print_ISBN :
978-1-4244-9635-8
Type :
conf
DOI :
10.1109/IJCNN.2011.6033299
Filename :
6033299
Link To Document :
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