This is just to show that I am trying to find  a new ratio so that all graphs have from -1 to +1 ranges. That is why now the difference in occupancy time is divided by the total time. The same with the speed. Because speed differences are so subtle, the Y axis scale has to be lower

the first graph shows Bar plot of Mean and standard deviation of PIs for Genetic control (n=9) and Positive control (n=5).
The second graph shows weighted mean and weighted standard deviation of the same.

Weighted mean is calculated by multiplying the weights (total number of flies in that experiment/total number of flies in all the experiments) with the PI for that experiment, and taking the sum thereafter for all the experiments.

Self-learning of Rover/sitter from flight simulator

Long-term memroy from self-learning

Self-learning training/tests from transgeneic flies

NorpA; Chrimson/Gr28 (N=12, ATR)

NorpA; Chrimson/Gr28 (N012, No ATR)

NorpA;Chrimson/+ (N=11, ATR)

TrpA1 self learning test, N= 47

TrpA1 long term memory, N= 39

Wtb long term memory (previous on fly simulator), N= 16

N= 31

30 from each lines, no statistially difference among them. I will keeping testing on flight simultor before transgenic flies hatch.