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Neural image processing by dendritic networks.

Hermann Cuntz·Jürgen Haag·Alexander Borst
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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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Hermann Cuntz, Jürgen Haag, Alexander Borst. 2003-08-28. Neural image processing by dendritic networks.. https://doi.org/10.1073/pnas.1830705100

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