UASCas9;UASgFoxP X ElavG4;UASCas9 or ElavG4;TubGal80

on Monday, February 3rd, 2020 1:22 | by

First data of conditional FoxP temperature switch in adult flys

Wtb Old vs Wtb New

on Thursday, January 23rd, 2020 1:21 | by

Comparison between the old and the new Wtb data.

Wtb summary 11/19 – 1/20

on Wednesday, January 22nd, 2020 4:20 | by

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).

Fist test of FoxP cond hs

on Monday, January 20th, 2020 1:19 | by

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

Testing of set-up

on Monday, January 20th, 2020 12:58 | by

The focus of the laser was changed, resutling in a better avoidance.

Wtb1 = bevore readjustment, Wtb 2 after readjustment
Top: Cs with focused laser
Bottom: Cs with not adjusted laser

Preliminary results from MBON screen and habit formation

on Monday, September 23rd, 2019 1:52 | by

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.

Inhibition of habit formation screening (MB011B)

on Wednesday, March 20th, 2019 1:45 | by

A flight performance test to see how the flies are behaving while flying. They have a slightly lower flight duration compared to the genetic controls but nothing that should impair them in the experiment.

The learning experiments are ongoing. I am doing n=15 for each line and each experiment, both Composite Control and also a Isolated Operant experiment. The Composite control experiment is done but I only got 13 flies for Isolated Operant. I do not want to preanalyze the data and will therefor post it when all the flies are done.

Control experiments

on Wednesday, March 20th, 2019 1:42 | by

Learning paradigm with Wild Type Berlin flies

Control experiments

on Wednesday, March 20th, 2019 10:46 | by

Been conducting a few control experiments to validate the “new” torque machine. Did a set of color learning and also isolated operant self learning. They do behave as expected. There is a small lumping together in the data the first period after the optomotor response in which the flies are in a neautral setting. It should be noted that it is a combined experiments of alternating right and left optomotor response. Also, the data in this figure is also a combination of the A/D converted “correctly” installed and “incorrectly”, i.e. inverted and reversed.

Pushing software updates

on Wednesday, March 20th, 2019 9:21 | by

Johann Schmid and I have been working on getting updates to the torque meter software. Small changes but with significant increase in user friendliness.

● Inability to overwrite the data

● Progress bar and a time bar implemented

● It resets the pattern from one period to another. This is of critical importance as this enables one to do basically any kind of experiment on the machine

I have also gotten hold of a free version of LabView. I thought it could be a good idea that we could to small changes ourself to the software. However, my version is 2017 and Mr Schmid mentioned that he will be transferring to LabView 2019, and thereby retiring the 2017 version. A student version of labview is affordable, less than 50 Euros. It could be worth getting a legal licence of this software.


● The A/D converter now connects directly to the PCB. Only problem is that it is inverted, meaning that the signal from the torque machine gives a positive signal it is registered as a negative signal in the software. Mr Schmid is aware of this and will invert the signal in the software, rather than resoldering the PCB connection.

Updates to the DTS

● DTS is now also better compatible wit the new kind of data we are getting. A conflict occurred because of differences in pattern. An easy fix by just ignoring this parameter.