» Articles » PMID: 23167675

Nonassociative Plasticity Alters Competitive Interactions Among Mixture Components in Early Olfactory Processing

Overview
Journal Eur J Neurosci
Specialty Neurology
Date 2012 Nov 22
PMID 23167675
Citations 27
Authors
Affiliations
Soon will be listed here.
Abstract

Experience-related plasticity is an essential component of networks involved in early olfactory processing. However, the mechanisms and functions of plasticity in these neural networks are not well understood. We studied nonassociative plasticity by evaluating responses to two pure odors (A and X) and their binary mixture using calcium imaging of odor-elicited activity in output neurons of the honey bee antennal lobe. Unreinforced exposure to A or X produced no change in the neural response elicited by the pure odors. However, exposure to one odor (e.g. A) caused the response to the mixture to become more similar to that of the other component (X). We also show in behavioral analyses that unreinforced exposure to A caused the mixture to become perceptually more similar to X. These results suggest that nonassociative plasticity modifies neural networks in such a way that it affects local competitive interactions among mixture components. We used a computational model to evaluate the most likely targets for modification. Hebbian modification of synapses from inhibitory local interneurons to projection neurons most reliably produced the observed shift in response to the mixture. These results are consistent with a model in which the antennal lobe acts to filter olfactory information according to its relevance for performing a particular task.

Citing Articles

Reinforcement expectation in the honeybee (): Can downshifts in reinforcement show conditioned inhibition?.

Mahoney S, Hosler J, Smith B Learn Mem. 2024; 31(5).

PMID: 38862176 PMC: 11199939. DOI: 10.1101/lm.053915.124.


Tyramine and its receptor modulate attention in honey bees ().

Latshaw J, Mazade R, Petersen M, Mustard J, Sinakevitch I, Wissler L Elife. 2023; 12.

PMID: 37814951 PMC: 10564449. DOI: 10.7554/eLife.83348.


Granger Causality Analysis of Transient Calcium Dynamics in the Honey Bee Antennal Lobe Network.

Paoli M, Antonacci Y, Albi A, Faes L, Haase A Insects. 2023; 14(6).

PMID: 37367355 PMC: 10299490. DOI: 10.3390/insects14060539.


Gain modulation and odor concentration invariance in early olfactory networks.

Marachlian E, Huerta R, Locatelli F PLoS Comput Biol. 2023; 19(6):e1011176.

PMID: 37343029 PMC: 10317235. DOI: 10.1371/journal.pcbi.1011176.


Novelty detection in early olfactory processing of the honey bee, Apis mellifera.

Lei H, Haney S, Jernigan C, Guo X, Cook C, Bazhenov M PLoS One. 2022; 17(3):e0265009.

PMID: 35353837 PMC: 8967009. DOI: 10.1371/journal.pone.0265009.


References
1.
Yu D, Ponomarev A, Davis R . Altered representation of the spatial code for odors after olfactory classical conditioning; memory trace formation by synaptic recruitment. Neuron. 2004; 42(3):437-49. DOI: 10.1016/s0896-6273(04)00217-x. View

2.
Peele P, Ditzen M, Menzel R, Galizia C . Appetitive odor learning does not change olfactory coding in a subpopulation of honeybee antennal lobe neurons. J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2006; 192(10):1083-103. DOI: 10.1007/s00359-006-0152-3. View

3.
Bitterman M, Menzel R, Fietz A, Schafer S . Classical conditioning of proboscis extension in honeybees (Apis mellifera). J Comp Psychol. 1983; 97(2):107-19. View

4.
Huerta R, Sanchez-Montanes M, Corbacho F, Siguenza J . A central pattern generator to control a pyloric-based system. Biol Cybern. 2000; 82(1):85-94. DOI: 10.1007/PL00007963. View

5.
Cleland T, Morse A, Yue E, Linster C . Behavioral models of odor similarity. Behav Neurosci. 2002; 116(2):222-31. DOI: 10.1037//0735-7044.116.2.222. View