I wanted to expand and look into some general behavior of the mbon-2 flies. Mostly as a complement to the already existing data.

-Introduced Sayani to the wonderful world of Drosophila

-Been doing some DTS coding

-Preparing flies to do optomotor response for Mathias Raß

I experienced some issues with the first batch of the UAS-TNT control flies, theyh ad a very low learning curve. The second batched looked fine but the still have a slightly lower learning PI during Test1 than I want.

Mean or median?

A highly hypothetical scenario of how the distribution of dwelling times could be. Even if unrealistic, it still illustrates the problem of using median instead of mean.

Plotting the dwelling times as means

Grouped analysis of dwelling times

Cumming estimation plot

Update on coditional FoxP manipulation. Either no manipulation at 18°c or switch to 30°c for adult flys.

Comparison between the old and the new Wtb data.

Summary of the self-learning experiments with Wtb. The laser was adjusted for the later trails. This is resulting now in a better avoidanc in training (orange bars).

The different MBON types and their averaged preference index for Test2/3 during isolated operant component in the flight simulator. Each letter corresponds to a randomized MBON subtype. All but one is being displayed due to low sample size.

Learning paradigm with Wild Type Berlin flies