Odor recognition and segmentation by a model olfactory bulb and cortex

Details Odor recognition and segmentation by a model olfactory bulb and cortex Odor recognition and segmentation by a model olfactory bulb and cortex

2000-02-18

arxiv.org/abs/cond-mat/0002289v1

Network: Computation in Neural Systems 11, 83-102 (2000)

Physics

Condensed Matter

Disordered Systems and Neural Networks

25 pages, 6 figures

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Odor recognition and segmentation by a model olfactory bulb and cortex does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Odor recognition and segmentation by a model olfactory bulb and cortex, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Odor recognition and segmentation by a model olfactory bulb and cortex will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-459424