Local FoxP knock out

on Monday, November 16th, 2020 8:47 | by

GMR65A06
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Set-Up test

on Monday, November 9th, 2020 11:03 | by

Wtb
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New review of the shiming-setup

on Monday, October 26th, 2020 1:56 | by

Recent wtb test

There often seems to be a strong preference for a side. The laser was off.

Fly had a strong pref for left side, laser was off

Flies often seem to have a strong preferenc for a side. In the imiage below the top fly was punished for left torque and survived, the fly below was punished for the right torque side and died.

Trails with drift

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Testing of the repaired torque-meter

on Monday, October 12th, 2020 12:49 | by

I’ve started again to test the set-up after repairs. It does not seem to be perfectly stable ,with some drift in the positive direction. Most often, it seems that the amount of drifting would be fine for measuring.

Therefor I tried measuring some flies. A problem now is a very negative baseline, when the fly stops flying. Also the response for left and right seems not to be equal.

So now I’m trying to get the line close to 0, so that I have conclusive results if the set-up if usable at the current state.

2 examples of drift:

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FoxP knock out in adult.

on Monday, September 14th, 2020 1:49 | by

The repetition of the knockout experiment in adult flies indicates that FoxP is not required for learning in adult flies. (Exp = elav tubGal80>Cas9gFoxP)

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General behavior of the MBON-2

on Monday, August 31st, 2020 12:54 | by

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

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PCB x Cas9gFoxP

Knockout of FoxP in the PCB. Flies are still able to learn.

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Recent experiments

on Monday, June 22nd, 2020 1:52 | by

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Results of new repairs

on Monday, June 8th, 2020 1:40 | by

No laser, just fly trace
Standart experiment

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Some issues with UAS-TNT control

on Monday, April 20th, 2020 1:57 | by

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.

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