Deciphering Complexity in Human Brain Organoids via a Novel Hurst Exponent Estimation

Author(s): Mariana Sacrini Ayres Ferraz, Alysson R. Muotri, and Alexandre Hiroaki Kihara A method that estimates the Hurst exponent directly from a binary spike train series suggests that the coefficient of variation of the exponent, rather than the exponent itself, more accurately reflects neural complexity during organoid maturation. [Phys. Rev. Lett. 135, 108402] Published Thu Sep 04, 2025