Paper on a model of olfactory recognitive and segmentation available

From: Dr Zhaoping Li (zhaoping@gatsby.ucl.ac.uk)
Date: Fri Feb 18 2000 - 06:47:05 MST

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TITLE: Odor recognition and segmentation by a model olfactory bulb and
cortex

AUTHORS: Zhaoping Li and John Hertz

Published in Network: Computation in Neural Systems 11 ;p 83-102 (2000)

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.

Available at http://www.gatsby.ucl.ac.uk/~zhaoping/olfaction.html

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