"Estimating the dimensionality of neural data brings its own unique challenges. [D]imensionality can be defined as the number of linear orthogonal components (singular- or eigenvalues) underlying a matrix that are larger than zero (Shlens, 2014)"https://doi.org/10.1101/232454
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Yes. Fractal.
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I'm not sure but given all the noise I am sure it does give output that's a real number. But I am no expert!
@ProfData can explain more, I am sure. -
I did read the whole paper, with interest. Looks like really useful ideas so look forward to seeing it used more. Thanks for the link.
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You're way ahead of me, I have not read the whole thing yet!
End of conversation
New conversation -
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