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Published in:
2006 | OriginalPaper | Chapter
Rapid Correspondence Finding in Networks of Cortical Columns
Authors : Jörg Lücke, Christoph von der Malsburg
Published in: Artificial Neural Networks – ICANN 2006
Publisher: Springer Berlin Heidelberg
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We describe a neural network able to rapidly establish correspondence between neural fields. The network is based on a cortical columnar model described earlier. It realizes dynamic links with the help of specialized columns that evaluate similarities between the activity distributions of local feature cell populations, are subject to a topology constraint, and gate the transfer of feature information between the neural fields. Correspondence finding requires little time (estimated to 10-40 ms in physiological terms) and is robust to noise in feature signals.