2006
DOI: 10.1007/11840817_70
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Rapid Correspondence Finding in Networks of Cortical Columns

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Cited by 5 publications
(7 citation statements)
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“…First, the feature units with the smallest inputs are deactivated, and finally only subsets of units with strong input remain active. During map formation, however, many feature units are always active (compare Lücke & von der Malsburg, 2006). Only for very high levels of inhibition, and after the map has formed, just one unit per feature column remains active.…”
Section: Simulationsmentioning
confidence: 98%
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“…First, the feature units with the smallest inputs are deactivated, and finally only subsets of units with strong input remain active. During map formation, however, many feature units are always active (compare Lücke & von der Malsburg, 2006). Only for very high levels of inhibition, and after the map has formed, just one unit per feature column remains active.…”
Section: Simulationsmentioning
confidence: 98%
“…For simplicity, the feature layers thus solely communicate via their systems of control columns in the dynamics studied here. In a more general system, input to feature columns (see equation 3.1) can, however, also constitute of mixtures of feature vector input and feature column input from the other layer (compare Lücke & von der Malsburg, 2006).…”
Section: Simulationsmentioning
confidence: 99%
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