• Other projects I have been working on this week
• Working out the new FPGA software for Flight simulator
• Collecting flies for Optogenetics Experiment
• Implementing dwelling times in DTS R script
• Implementing Metadata comparison in R script
• Grant writing

First test of the conditionla FoxP hs with the heat applyed as adult.

DTS: The graph below is an example image of how color according to category looks like. The output now adds a unique color for each category. The one below has three different colors as the pretest phase does not use any pattern and is therefor read as its own category.

Optomotorics: The software worked as it should although it had a couple of issues. Wrong information in xml sheet was one of them: this is now fixed so that it enters duration as seconds and the correct terms for a_pos and j_pos are used

The other issue was that at the end of the experiment about 40-50 data points were missing/removed. My speculation was that this either had to do with data being removed at the end of the experiment or that it ended prematurely. Turns out that the later was the cause.

As simple as it might seem, there was a lot of investigation to find this bug. To fix this I simply had to replace
if curr_count >= self.test_time() - 100:
with
if curr_count >= self.test_time() - 30:

Pretest of standart yaw torque learning experiments. No learning behaviour yet, troubleshooting ongoing. ContonS fly’s seems to perform better. (Same Wtb, FoxP and Cs data for each graph)

Changing the contingency for the data.

Pretest with Wtb fly’s to evaluate if the setup is working correctly.

N=16, negative score: 9, positive score 5, indifferent 2.

Learning deficit due to old age?

Scores shuld be inverted. 3 example PIs

Indifferent

Test files for 10 sec, with fixed value (1, -1) and swiching the contingency (left punished, right punished). Evaluation file makes no sens.