> They found that groups of neurons connect into 'cliques', and that the number of neurons in a clique would lead to its size as a high-dimensional geometric object.
So cliques of 11 neurons have been found in the brain? I'd hardly call this 11 dimensional.
I am guessing that they can't actually mean 11 spacial dimensions. Are they saying something analogous to multi-dimensional data structures? Like these things exist in 3D space but they are akin to arrays of arrays?
I wonder if it's more like 11 "dimensional analysis" dimensions, rather than space/time+ dimensions. So thinking about something complicated could mean we can process/hold 11 separate variables at a time?
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[ 3.1 ms ] story [ 22.9 ms ] thread- citing the same paper: https://news.ycombinator.com/item?id=18218504
NetworkX does clique identification [1] in memory, and it looks like CuGraph does not yet have a parallel implementation [2]
[1] https://networkx.org/documentation/stable/reference/algorith...
[2] CuGraph docs > List of Supported and Planned Algorithms: https://docs.rapids.ai/api/cugraph/stable/graph_support/algo...
So cliques of 11 neurons have been found in the brain? I'd hardly call this 11 dimensional.
The lowly byte is 8 dimensional in the Boolean domain.
https://www.frontiersin.org/articles/10.3389/fncom.2017.0004...
that being said…
julian casablancas confirmed.