FlyWire Information Flow Ranks
Authors/Creators
Description
This repository contains the results of the information flow ranl caluclations used in the analysis around Figure 6 in the manuscript "Neuronal wiring diagram of an adult brain".
We applied the information flow model from Schlegel et al. [1] starting from different sets of neurons as indicated by the filename. For each seed set, we ran the model 10,000 times and took the average for each neuron (layer_mean in the feather files).
The feather files can be read using pandas (Python): df = pd.read_feather(<path>)
Files
Files
(25.3 MB)
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md5:66ffb94cb8a2eb23096bf29c16c02bfa
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md5:817d4b68caa0f2e12bd039853ca2c204
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md5:141e26896c2d0c89135a89a02f662289
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md5:e8c4b2d9d623b2884473a399748d7614
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md5:ced0b5e5a3cb6e08fb0a6e8ba03c74a4
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md5:6bd141e8c3e1a27c388d8c318a4c95d6
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md5:92bd1ecddadb1ab120d8c16bf72a7eef
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md5:e254f1f6035c3272782bd9853ed4841f
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md5:17d986f7bc897cb617d8866de1ecaf67
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md5:b30172bec5a815028e68a103ecd0ca17
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1.6 MB | Download |
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md5:2e65e99edead2236334223bb7f55659d
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1.5 MB | Download |