Odor recognition and segmentation by a model olfactory bulb and cortex

Zhaoping Li; John Hertz

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arXiv · cond-mat/0002289

Odor recognition and segmentation by a model olfactory bulb and cortex

Zhaoping Li·John Hertz

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Abstract

We present a model of an olfactory system that performs odor segmentation. Based on the anatomy and physiology of natural olfactory systems, it consists of a pair of coupled modules, bulb and cortex. The bulb encodes the odor inputs as oscillating patterns. The cortex functions as an associative memory: When the input from the bulb matches a pattern stored in the connections between its units, the cortical units resonate in an oscillatory pattern characteristic of that odor. Further circuitry transforms this oscillatory signal to a slowly-varying feedback to the bulb. This feedback implements olfactory segmentation by suppressing the bulbar response to the pre-existing odor, thereby allowing subsequent odors to be singled out for recognition.

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Zhaoping Li, John Hertz. 2000-02-18. Odor recognition and segmentation by a model olfactory bulb and cortex. https://arxiv.org/abs/cond-mat/0002289

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