With the modified laser settings I was able to test 3 more wtb. Here are the results:

–> yaw torque

Just to have an example of yaw torque datasets and how they should avoid:

Before collecting the actual data I make sure that the flight simulator in the basement does its thing ;) Here are the test runs with wtb flies for different protocols:

—>> yaw torque

–>> switch mode

–>> habit formation

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.

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

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:

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.

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)