newWTB vs oldWTB

on Monday, May 22nd, 2017 10:37 | by

The behavior of new and old WTB seems different, but since only a few flies are tested, the results are not conclusive.

newWTB =3, PI= 0.35

old WTB from last month = 7,  PI=0.04

flying trace,

wtb72 (old, left punishment)

wtb 74,78 (new, right punishment)

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summary of self learning test data, and standardize data

on Monday, April 10th, 2017 1:19 | by


N = 24

pretest1 : -0.58







Standardization: ALL data +2?, then (test2-pretest)/pretest

standardized test2: 0.71


N = 10

pretest1 : -0.24







standardized test2: 0.48


N = 13

pretest1 : -0.46







standardized test2: 0.57

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update on self learning&longterm memory

on Monday, April 3rd, 2017 1:44 | by

longterm test:

1 from sitter,  8 from wtb, 3 from rover (total N = 12)

mean(test): 0.248          SD(test): 0.7

Longterm test Control

1 from sitter, 2 from rover (N=3)

mean(test):-0.386           SD(test):0.79

Two Sample:

Based on 50%(20%) of statistical power, the minimum sample size is 7 (17)for both group.

One Sample (assume control group has the average of PI is 0):

Based on 50% (20%) of statistical power, the minimum sample size is 22 (49)for both group.


Self learning test:

sitter N=5

wtb N= 4




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update on self learning and longterm memory

on Monday, March 27th, 2017 2:07 | by

5 measurements on self learning from rover:

6 measurements on self learning form sitter:

10 measurements on self learning from wtb:

4 measrements on long term test from rover:

(right punishment)

3 measrements on long term test from sitter (fly stops a lot during test, this result may not be accurate):

(13:left punishment, 19: right punishment)

7 measrements on long term test from wtb

(left punishment)


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PKG and WTB self learning test and long term memory test

on Monday, March 20th, 2017 12:11 | by

PKG rover self learning N=5

rover test on next day N=2

WTB self learning N=7

WTB test on next day N=4

2 rover, 4 wtb, 1 sitter test result after 24 hours

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self learning from WTB

on Friday, March 10th, 2017 2:30 | by

By contrast of PKG rover, this result shows PI from wtb. N = 4

test1 PI= -0.05

test2 PI= -0.08

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PKG rover update

on Monday, March 6th, 2017 10:17 | by

There is the result of 20 measurements on PKG rover.








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Laser power/angle adjustment

on Monday, February 20th, 2017 10:15 | by

After camera and punish laser adjusted, flies showed a high avoidence in the trail. Especially, when the fly was hit by punish laser in the first time of each training block. Unfortunately, there was a huge drift in the last trace after adjustment, but it shows a good avoidence in each training block.

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Wild type Drosophila flying trace

on Monday, October 31st, 2016 12:03 | by


Wild Type Drosophila were used for single fly trace testing. The basic ideal is to record the spontaneous behavior (flying trace) after punishment training by heat. The followings are 3 subjects were test with performance index (PI).

  •  wtb_08 (right punishment).
pretest(PI1) training1(PI2) training2(PI3) test1(PI4) training3(PI5) traing4PI(PI6) test2/3(PI7)
10000 10000 10000 9984 9117 8113 10000


  • wtb_10 (left punishment).
pretest training1 training2 test1 training3 traing4 test2/3
1121 2583 2397 -4310 9433 9458 9960


  • wtb_14 (left punishment).
pretest training1 training2 test1 training3 traing4 test2/3
-832 -9510 -8339 -9903 -813 -574 -9887


  • Average.
pretest1/2 training1 training2 test1 training3 traing4 test2/3
all 3429 1024 1352 -1409 5912 5665 3357
left punishment 144 -3463 -2971 -7106 4310 4442 36

PS: From Julien’s paper, he demonstrates that there are 7 blocks were included in PI ( one pretest:PI1; four training test: PI2, PI3, PI5,PI6; two memory test: PI4,PI7)


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on Friday, July 1st, 2016 10:33 | by


This is the same experiment as I previously showed of Gr66a>Chrimson (ATR). The only difference is that the light was on for the whole experiment, so that the flies could see the light before the entered the arm. Previously the light switched on once the fly went into the arm. The phenotype is much stronger (there is some classical component in it). I was trying to reinforce left or right turns but it does not seem to work after a bit trying out. It makes sense ecologically I think, that the right or left turns are not coupled to the reinforcement systems. I also have been thinking about the CS-US relation bitter taste-turn directions does not make sense ecologically, but maybe if instead of bitter, I apply pain or heat …it could work. I was thinking of reinforcing orientation as well as a speed threshold, or any other variants. What do you think? I would appreciate some ideas. Since I want to make sure about what am I measuring: operant/place/classical…

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