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Neural image processing by dendritic networks.


ABSTRACT: Convolution is one of the most common operations in image processing. Based on experimental findings on motion-sensitive visual interneurons of the fly, we show by realistic compartmental modeling that a dendritic network can implement this operation. In a first step, dendritic electrical coupling between two cells spatially blurs the original motion input. The blurred motion image is then passed onto a third cell via inhibitory dendritic synapses resulting in a sharpening of the signal. This enhancement of motion contrast may be the central element of figure-ground discrimination based on relative motion in the fly.

SUBMITTER: Cuntz H 

PROVIDER: S-EPMC196930 | biostudies-literature | 2003 Sep

REPOSITORIES: biostudies-literature

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Neural image processing by dendritic networks.

Cuntz Hermann H   Haag Jürgen J   Borst Alexander A  

Proceedings of the National Academy of Sciences of the United States of America 20030828 19


Convolution is one of the most common operations in image processing. Based on experimental findings on motion-sensitive visual interneurons of the fly, we show by realistic compartmental modeling that a dendritic network can implement this operation. In a first step, dendritic electrical coupling between two cells spatially blurs the original motion input. The blurred motion image is then passed onto a third cell via inhibitory dendritic synapses resulting in a sharpening of the signal. This en  ...[more]

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