This article was originally published online on 23 May 2024 with incorrect information in the first two lines of the final section of Eq. (19), and with “(a)” and “(b)” designators in the caption of Fig. 4 rather than “(top)” and “(bottom).” Equation (19) and Fig. 4 appear correctly below. AIP Publishing apologizes for the errors. All online versions of the article were corrected on 28 May 2024; the article is correct as it appears in the printed version of the journal.
![A simple brain network (top) and its modification due to the K-operator (bottom). (top) A simple brain network, with four lobes, and four neural agglomerates in each of them. For the sake of simplicity, in this example, the weights are the same in all lobes [Eq. (17)]. (bottom) The K-operator of Eq. (18), acting on the network of Fig. 4(a), changes the thickness of the edges in the four lobes, modifying the weights of the corresponding elements inside the brain-adjacency matrix.](https://aipp.silverchair-cdn.com/aipp/content_public/journal/cha/34/6/10.1063_5.0222393/1/m_069901_1_5.0222393.figures.online.f1.jpeg?Expires=1731562962&Signature=KIkRWHfUTebCq8yG6xk9Tl23JHTIaWIzYOKjsi6B0kanOn5R6mrzEeQpNPFz5uB31n5Mz~pEOmLfwW8juc2NJvS0aHmhixX3NAj9dTmOoEIPlz3SgLDHAqn5RQ-cqRu-zPH1ToRUNSxEcewoAq33rgcqgdvrzqXlpeDgIBlmZOgnemF-VeWPux-zJlbBOJmik7zSb8yFjd2fzXj3TUYDXHtp0v8di2t~i0VkpgGf2fIkUMLseIDbg6TVCLjntcnUfFfs1Y84prq2z7U5sixTuK1FjgrgPgY6R~vA5kqCLzD8N-f6GM99Gce9rsVEyCcECENKHx0E7Hbz48vV5M1obA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)
A simple brain network (top) and its modification due to the K-operator (bottom). (top) A simple brain network, with four lobes, and four neural agglomerates in each of them. For the sake of simplicity, in this example, the weights are the same in all lobes [Eq. (17)]. (bottom) The K-operator of Eq. (18), acting on the network of Fig. 4(a), changes the thickness of the edges in the four lobes, modifying the weights of the corresponding elements inside the brain-adjacency matrix.
A simple brain network (top) and its modification due to the K-operator (bottom). (top) A simple brain network, with four lobes, and four neural agglomerates in each of them. For the sake of simplicity, in this example, the weights are the same in all lobes [Eq. (17)]. (bottom) The K-operator of Eq. (18), acting on the network of Fig. 4(a), changes the thickness of the edges in the four lobes, modifying the weights of the corresponding elements inside the brain-adjacency matrix.
