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Odour recognition and segmentation by a model olfactory bulb and cortex

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Citation

Li, Z., & Hertz, J. (2000). Odour recognition and segmentation by a model olfactory bulb and cortex. Network: Computation in Neural Systems, 11(1), 83-102. doi:10.1088/0954-898X/11/1/305.


Cite as: https://hdl.handle.net/21.11116/0000-0002-DD43-A
Abstract
We present a model of an olfactory system that performs odour 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 odour 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 odour. 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 odour, thereby allowing subsequent odours to be singled out for recognition.