Honey bee antennal lobe calcium imaging
Data files
Aug 01, 2024 version files 276.92 MB
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calcium_imaging_database.mat.zip
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README.md
Abstract
Odour processing exhibits multiple parallels between vertebrate and invertebrate olfactory systems. Insects, in particular, have emerged as relevant models for olfactory studies because of the tractability of their olfactory circuits. Here, we used fast calcium imaging to track the activity of projection neurons in the honey bee antennal lobe (AL) during olfactory stimulation at high temporal resolution. We observed a heterogeneity of response profiles and an abundance of inhibitory activities, resulting in various response latencies and stimulus-specific post-odour neural signatures. Recorded calcium signals were fed to a mushroom body (MB) model constructed implementing the fundamental features of connectivity between olfactory projection neurons, Kenyon cells (KC), and MB output neurons (MBON). The model accounts for the increase of odorant discrimination in the MB compared to the AL and reveals the recruitment of two distinct KC populations that represent odorants and their aftersmell as two separate but temporally coherent neural objects. Finally, we showed that the learning-induced modulation of KC-to-MBON synapses can explain both the variations in associative learning scores across different conditioning protocols used in bees and the bees' response latency. Thus, it provides a simple explanation of how the time contingency between the stimulus and the reward can be encoded without the need for time tracking. This study broadens our understanding of olfactory coding and learning in honey bees. It demonstrates that a model based on simple MB connectivity rules and fed with real physiological data can explain fundamental aspects of odour processing and associative learning.
README: Honey bee antennal lobe calcium imaging
https://doi.org/10.5061/dryad.qbzkh18sc
This database comprises the data used for the analysis in Paoli et al., eLife (2024). It provides a set of honey bee antennal lobe calcium imaging recordings for 8 bees exposed to 3 odorants for 20 trials.
Description of the data and file structure
The database (db) is in the form of a MatLab structure comprising:
- db.allmaps (described in db.allmaps_legend) contains the average response maps (64x64 pixels) for each olfactory stimulus (3 odorants) for 8 bees.
- db.odors (described in db.odor_legend) contains the name of the odorants used for the stimulations
- db.bee (described in db.bee_legend) contains 8 cells (one for each bee). Each cell has dimensions glomeuli-by-odorant-by-trial-by-time. Time is from 3s before odor onset to 20 s after odor onset. Calcium signal is recorded as relative change with respect to the pre-stimulus baseline (deltaF/F)
- db.fs contains the acquisition frequency rate used for each bee
- db.xy contains the x and y coordinates on the response maps (db.allmaps) used to extract glomerular information
Methods
Honey bee antennal lobe ouptu neurons have been labelled with Fura-2-dextran. Imaging was conducted with a Leica SP8 LSM. Data was processed in MatLab.