The seven-neuron conjecture for locally good codes
The seven-neuron conjecture for locally good codes
A code is locally good if every link of every codeword is contractible. Seven-neuron conjecture. Every locally good code on at most neurons is open convex or closed convex. The paper gives an example on neurons with these local properties that is neither open convex nor closed convex, and asks whether fewer neurons can support such an example; the supplied text does not establish the conjecture's resolution.
Sources & referencesView supporting material
Primary source
Brianna Gambacini, R. Amzi Jeffs, Sam Macdonald and Anne Shiu, “Non-monotonicity of closed convexity in neural codes”, arXiv:1912.00963 (2021).
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