I just realized: if a single neuron in the brain can connect to 10000 others, it means that if you want to model it with a regular lattice, you'd need at least 17 dimensions. #kissingNumber
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Replying to @ultimape
This is basically just about the dimensionality of a numpy table.
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Replying to @Plinz
Ah, I thought it was a reference to this: https://www.sciencealert.com/science-discovers-human-brain-works-up-to-11-dimensions …
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Replying to @ultimape
Yes and no. I looked up the kissing number (if each element is only allowed to connect to its direct neighbors in a grid, you need 17-19 dimensions for 10000 neighbors). The result in the study you linked is related to that, but the authors seem to fail to see the connection.
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Basically, if the study is correct and they don't miss the long tail of neural connectivity, it says that a neuron can only have less then 900 meaningful connections to other neurons, and not 10000 as usually believed.
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