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Neural image processing by dendritic networks
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DOI：10.1073/pnas.1830705100.png)
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Abstract
En 中文
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.
Keywords:
INTRINSIC ELECTROPHYSIOLOGICAL CHARACTERISTICS
FIGURE-GROUND DISCRIMINATION
PLATE TANGENTIAL CELLS
VISUAL INTERNEURONS
CALCIUM ACCUMULATION
MEMBRANE-PROPERTIES
RELATIVE MOTION
NEURONAL BASIS
FLY
SYSTEM
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