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Olfactory memories are intensity specific in larval Drosophila

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons39126

Yarali,  Ayse
Max Planck Research Group: Behavioral Genetics / Tanimoto, MPI of Neurobiology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons80981

Oguz,  Tuba
Max Planck Research Group: Behavioral Genetics / Tanimoto, MPI of Neurobiology, Max Planck Society;

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Zitation

Mishra, D., Chen, Y.-C., Yarali, A., Oguz, T., & Gerber, B. (2013). Olfactory memories are intensity specific in larval Drosophila. JOURNAL OF EXPERIMENTAL BIOLOGY, 216(9), 1552-1560. doi:10.1242/jeb.082222.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-7632-C
Zusammenfassung
Learning can rely on stimulus quality, stimulus intensity, or a combination of these. Regarding olfaction, the coding of odour quality is often proposed to be combinatorial along the olfactory pathway, and working hypotheses are available concerning short-term associative memory trace formation of odour quality. However, it is less clear how odour intensity is coded, and whether olfactory memory traces include information about the intensity of the learnt odour. Using odour-sugar associative conditioning in larval Drosophila, we first describe the dose-effect curves of learnability across odour intensities for four different odours (n-amyl acetate, 3-octanol, 1-octen-3-ol and benzaldehyde). We then chose odour intensities such that larvae were trained at an intermediate odour intensity, but were tested for retention with either that trained intermediate odour intensity, or with respectively higher or lower intensities. We observed a specificity of retention for the trained intensity for all four odours used. This adds to the appreciation of the richness in 'content' of olfactory short-term memory traces, even in a system as simple as larval Drosophila, and to define the demands on computational models of associative olfactory memory trace formation. We suggest two kinds of circuit architecture that have the potential to accommodate intensity learning, and discuss how they may be implemented in the insect brain.