Odor recognition and segmentation by a model olfactory bulb and cortex
| dc.creator | Li, Zhaoping | |
| dc.creator | Hertz, John | |
| dc.date | 2000-02-18 | |
| dc.date.accessioned | 2026-07-07T02:36:48Z | |
| dc.date.available | 2026-07-07T02:36:48Z | |
| dc.description | 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. | |
| dc.description | 25 pages, 6 figures | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0002289 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0002289 | |
| dc.identifier | Network: Computation in Neural Systems 11, 83-102 (2000) | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/16059 | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.subject | Quantitative Biology | |
| dc.title | Odor recognition and segmentation by a model olfactory bulb and cortex | |
| dc.type | text |