Learning Modifies Odor Mixture Processing to Improve Detection of Relevant Components
| Autor: | Fernando Locatelli, Emiliano Marachlian, Brian H. Smith, Collins Assisi, Ramon Huerta, Jen-Yung Chen, Maxim Bazhenov |
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| Rok vydání: | 2015 |
| Předmět: |
Olfactory system
Nerve net Olfaction Conditioning Psychological medicine Animals Learning Olfactory memory Communication business.industry General Neuroscience Olfactory Pathways Articles Bees Olfactory bulb Smell medicine.anatomical_structure Odor Odorants Female Antennal lobe Nerve Net Olfactory Learning business Psychology Neuroscience psychological phenomena and processes |
| Zdroj: | The Journal of Neuroscience. 35:179-197 |
| ISSN: | 1529-2401 0270-6474 |
| DOI: | 10.1523/jneurosci.2345-14.2015 |
| Popis: | Honey bees have a rich repertoire of olfactory learning behaviors, and they therefore are an excellent model to study plasticity in olfactory circuits. Recent behavioral, physiological, and molecular evidence suggested that the antennal lobe, the first relay of the olfactory system in insects and analog to the olfactory bulb in vertebrates, is involved in associative and nonassociative olfactory learning. Here we use calcium imaging to reveal how responses across antennal lobe projection neurons change after association of an input odor with appetitive reinforcement. After appetitive conditioning to 1-hexanol, the representation of an odor mixture containing 1-hexanol becomes more similar to this odor and less similar to the background odor acetophenone. We then apply computational modeling to investigate how changes in synaptic connectivity can account for the observed plasticity. Our study suggests that experience-dependent modulation of inhibitory interactions in the antennal lobe aids perception of salient odor components mixed with behaviorally irrelevant background odors. |
| Databáze: | OpenAIRE |
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