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 10-40ms in physiological terms) and is robust to noise in feature signals. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Lücke, J., & Von Der Malsburg, C. (2006). Rapid correspondence finding in networks of cortical columns. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4131 LNCS-I, pp. 668–677). Springer Verlag. https://doi.org/10.1007/11840817_70
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