Primacy coding in dual olfactory networks

Kepple, D. R., Giaffar, H., Rinberg, D., Koulakov, A. A. (October 2018) Primacy coding in dual olfactory networks. 51st Asilomar Conference on Signals, Systems, and Computers, 2017-O. pp. 587-592.

URL: https://ieeexplore.ieee.org/abstract/document/8335...
DOI: 10.1109/ACSSC.2017.8335409

Abstract

In the olfactory system, odor percepts retain their identity despite substantial variations in concentration, timing, and background. We propose a novel strategy for encoding intensity-invariant stimuli identity based on representing relative rather than absolute stimulus features. In this scheme, dependence on relative amplitudes of stimulus features makes identity invariant to intensity and monotonous non-linearities of neuronal responses. We propose that the olfactory system represents stimulus identity using the information that a subset of odorant receptor types responds more strongly than all receptor types in the complement set. We show that this information is sufficient to ensure the robust recovery of a sparse stimulus (odorant) via elastic net loss minimization. This minimization is performed under the constraints imposed by the relationships between these two receptor sets. We formulate this problem using its dual Lagrangian. We show that the dual problem can be solved by a neural network whose Lyapunov function represents the dual Lagrangian. We thus propose that networks in the piriform cortex compute odorant identity and implement dual computations with the sparse activities of individual neurons representing Lagrange multipliers. © 2017 IEEE.

Item Type: Paper
Subjects: organs, tissues, organelles, cell types and functions > tissues types and functions > neural networks
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons

organism description > animal behavior > olfactory
CSHL Authors:
Communities: CSHL labs > Koulakov lab
Watson School > Publications
Depositing User: Matthew Dunn
Date: October 2018
Date Deposited: 15 Aug 2018 15:41
Last Modified: 03 Jan 2019 21:28
URI: http://repository.cshl.edu/id/eprint/37104

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