講師 坂田綾香氏（統計数理研究所）

題目   Dimensional reduction in evolving spin-glass model

日時　12月11日（金）13:30 - 

参加申込はこちらから

https://forms.gle/NEie7FpVn2NEd3Yz7

要旨

Biological systems generally consist of a huge number of components. However, despite such high dimensionality, there is growing evidence that the responses of phenotypes to external changes are often restricted to a low-dimensional subspace. It has been recently conjectured that such dimension reduction is a consequence of the evolution to achieve functional phenotypes that are robust to perturbations. We address the question of if and how the dimension reduction evolves using a statistical physics model.

Sakata, Ayaka, and Kunihiko Kaneko. "Dimensional reduction in evolving spin-glass model: correlation of phenotypic responses to environmental and mutational changes." PRL 124.21 (2020): 218101.