Finally done: rut and rsh flies better at self-learning

on Monday, January 22nd, 2024 1:36 | by

At long last, I got all the flies together that we need for sufficient statistical power. As the preliminary data had indicated, WTB flies don’t learn with the short training, while rut and rsh flies do just fine.

However, this may be due to genetic background effects, so we need to check the CRISPR mutants.

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Starting it back up

on Monday, December 11th, 2023 11:34 | by

Last week, the torque mete ran for two days and I managed to record a few radish flies:

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Rover vs. Sitter self learning after 4 minutes training

on Monday, October 16th, 2023 10:39 | by

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Slowly collecting the mutants

on Friday, October 13th, 2023 6:13 | by

Finally, thanks to Marcella gluing to fly wheels instead of one, the mutant data are starting to roll in on the shortened self-learning experiment:

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First mutant data coming in

on Friday, October 6th, 2023 2:29 | by

Short yaw torque learning, i.e., only one minute per period. Orange: training, yellow: test. WTB: wild type Berlin, rut: rutabaga learning mutants. With this short training of only 4 minutes, wild type flies show no torque preference in the after training, while at least the first few rutabaga flies show such a preference:

So far, I only could get one radish fly to make it through the experiment, so I cannot display it here.

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Bachelor Blog / #7 offspring

on Monday, October 2nd, 2023 10:51 | by

Below you can find the data I collected from the offspring flies:

-> offspring from trained parents

-> offspring from untrained parents

(I left out data from flies that showed negative preference during two training periods in a row)

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Four minutes not enough

on Friday, September 29th, 2023 4:20 | by

Eight minutes of yaw torque training work just fine for both wild type and mutant flies:

Reducing the training to four minutes is not enough for wild type flies:

Now it will be exciting to see if the mutants still do what they did many years ago: learn better than wild type.

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Bachelor Blog / #6 playing around

on Monday, September 18th, 2023 12:51 | by

Since the results I got after training the parental flies looked a bit odd on first sight I decided to take a closer view…

First I excluded some weird animals that either showed a larger preference for one side than avoidance or showed no avoidance two training periods in a row:

Next I compared the behavior of flies that showed avoidance but no learning with the behavior of the remaining flies:

-> Avoidance is almost the same but note the first test period!

Lastly I split the data according to male and female flies. Here is what I got:

-> Looks a bit like there is negative learning in the male flies however I don´t have enough data to be sure…

As an overview here are all the flies (except for the excluded ones) together again:

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Bachelor Blog / #5 no learning :(

on Monday, September 11th, 2023 12:21 | by

Below you find the data from my experimental rounds A and B:

-> learning scores of the parental flies from experimental round A and B

-> learning scores of the trained parent´s offspring only from experimental round A

-> learning scores of the untrained parent´s offspring only from experimental round A

The results confuse me a lot and I am happy to discuss reasons :) However the offspring of the round-B will be ready for testing by the end of this week so there is still some data to collect…

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Coded the regression analysis

on Thursday, September 7th, 2023 2:16 | by

I now switched the sign of the Optomotor Asymmetry Index in flies that were punished on producing right-turning torque, such that weaker punished torque shows up as a positive index. After that was done, I plotted the correlation between the optomotor index and the preference index:

I had to get rid of eight flies where the optomotor response was already asymmetric before the training started, so now I only have 33 flies. But with these flies, there is no correlation before training and a very significant correlation after training.

Any suggestions about appearance of the graphs?

Would it be useful to plot optomotor and performance indices as raincloudplots next to the regressions?

This would be the complete figure:

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