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  Neural image processing by dendritic networks

Cuntz, H., Haag, J., & Borst, A. (2003). Neural image processing by dendritic networks. Proceedings of the National Academy of Sciences of the United States of America, 100(19), 11082-11085. doi:10.1073/pnas.1830705100.

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Cuntz, Hermann1, Author           
Haag, Juergen1, Author           
Borst, Alexander1, Author           
Affiliations:
1Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society, ou_1113548              

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 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.

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 Dates: 2003-09-16
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: eDoc: 121709
DOI: 10.1073/pnas.1830705100
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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : PNAS
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 100 (19) Sequence Number: - Start / End Page: 11082 - 11085 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230