Configurational and Elemental Odor Mixture Perception Can Arise from Local Inhibition

Authors: Linster C.1; Cleland T.A.2

Source: Journal of Computational Neuroscience, Volume 16, Number 1, January 2004 , pp. 39-47(9)

Publisher: Springer

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content

Abstract:

Contrast enhancement via lateral inhibitory circuits is a common mechanism in sensory systems. We here employ a computational model to show that, in addition to shaping experimentally observed molecular receptive fields in the olfactory bulb, functionally lateral inhibitory circuits can also mediate the elemental and configurational properties of odor mixture perception. To the extent that odor perception can be predicted by slow-timescale neural activation patterns in the olfactory bulb, and to the extent that interglomerular inhibitory projections map onto a space of odorant similarity, the model shows that these inhibitory processes in the olfactory bulb suffice to generate the behaviorally observed inverse relationship between two odorants' perceptual similarities and the perceptual similarities between either of these same odorants and their binary mixture.

Keywords: computational modeling; lateral inhibition; odor coding; olfaction; olfactory representation

Document Type: Research article

DOI: 10.1023/B:JCNS.0000004840.87570.2e

Affiliations: 1: Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA., Email: CL243@cornell.edu 2: Department of Neurobiology and Behavior, Cornell University, Ithaca, NY 14853, USA

The full text electronic article is available for purchase. You will be able to download the full text electronic article after payment.

$47.00 plus tax      Refund Policy

 

OR

Back to top

Key:
Free Content - Free Content
New Content - New Content
Subscribed Content - Subscribed Content
Free Trial Content - Free Trial Content
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages.
Page Help Click here for Page Help
Shopping cart
Tools
Sign in






Need to register?
Sign up here
Text size: A | A | A | A