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f096e9ba4f
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inter event interval analysis done. make function more universial. relative rate progresion of ecent evaluated
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2023-06-01 10:46:13 +02:00 |
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32bcb3aeea
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temporal correlations for all logical combinations?!
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2023-05-31 08:06:16 +02:00 |
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4f64aa6668
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event time ananlysis started. tried to implement bootstrap with cupy ... memory issues ... resolve on monday
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2023-05-25 15:39:04 +02:00 |
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d9d9982635
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meta analysis continues... next step would be to load the time series data and calculate cross correlations
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2023-05-23 14:53:46 +02:00 |
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8c1f85f89e
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cleaned code
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2023-05-23 11:01:59 +02:00 |
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5af9a25dfd
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continued meta analysis
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2023-05-22 15:15:16 +02:00 |
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42640c17d9
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evaluation of the trial_summary initiated. Now the fun beginns
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2023-05-19 13:17:26 +02:00 |
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83d5e3164b
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include mean shelter power (which denfines winner) to plot.
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2023-05-19 08:15:47 +02:00 |
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38b4b6800c
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sex assignment works. maybe rewrite trial analyis in a way that everything is saved with reference to ids not winner/loser... seems to be fishy.
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2023-05-17 15:15:15 +02:00 |
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c7725c4e01
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meta data collection nearly finished. Need to assign sexes based on EODf25 mean of each fish at the end. I got issues with winner detection in the trial_analyis.py --> results inconcurrent with csv values. plot mean/median shelter power used for winner assignment
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2023-05-17 14:32:34 +02:00 |
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8517014571
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created DataFrame containing trail data for corrections. Next would be to get to know sexes: load baseline -> q10 comp freqs -> > 749 == f
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2023-05-16 15:12:24 +02:00 |
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fdd5e1cc01
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continued on analysis ... included the calculus of mean_l and w and detected all LED_frames
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2023-05-15 15:20:07 +02:00 |
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c6254eac59
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LED_detect.py needs to be done for all recordings. next we need to check if trial_analysis.py does everything we need.
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2023-04-27 15:40:44 +02:00 |
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4c7a26c5fc
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recalculate boris times correctly ... and then start analysis ... thats why only group 5 and 6 can be used
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2023-04-26 16:09:42 +02:00 |
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