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学術論文

Neural image processing by dendritic networks

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Cuntz,  Hermann
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Haag,  Juergen
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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Borst,  Alexander
Department: Systems and Computational Neurobiology / Borst, MPI of Neurobiology, Max Planck Society;

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引用

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.


引用: https://hdl.handle.net/11858/00-001M-0000-0012-2303-B
要旨
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.