Dr. N. Sorokina (full name: Yekaterina Sorokina) is the foundational figure of the organoid electrophysiology research lineage — the scientific tradition whose constraint parameters, combined with connectomic mapping and slime mold decision substrates, enabled the neural core architecture. Her 2026 study at the Novosibirsk Institute of Cytology and Genetics, conducted in collaboration with the Beijing Institute of Genomics of the Chinese Academy of Sciences, demonstrated goal-directed spatial navigation in human-derived cortical organoids (~400,000 cells, 81.2% target acquisition rate) and proposed the substrate-independent cognition thesis through comparison with Physarum polycephalum — the argument that adaptive cognition may not require neurons.

The 2026 study is cited by Fennimore et al. (2045) as the primary source for the organoid electrophysiology lineage, with the explicit note that the citation order reflects priority: “the foundational insight, and the original experimental demonstration that made everything downstream possible, is Sorokina’s.”

By 2055, Sorokina reappeared in the published record as a co-author on the Volkonsky et al. sparse connectomic scaffold paper, listed as “Independent Researcher (Emeritus, formerly Kazan Federal Institute of Cellular Electrophysiology).” The paper uses her original 2026 electrophysiological framework directly — bypassing the Whitfield-Nakamura et al. (2039) intermediate protocol — and challenges the scale-maximizing assumptions that had dominated neural core architecture since 2045. Her return to the published record at age approximately 70+, contributing to a paper that questions the very industrial trajectory her foundational work enabled, represents a full-circle arc spanning 29 years of the field’s development.

The full trajectory of her career — from the MTSS-cultured organoid protocol (2026), through the post-correction diaspora during which her work was extended by Western labs (Whitfield-Nakamura, 2039), to the explicit priority acknowledgment by Cognitive Genesis (2045), to her reappearance as emeritus co-author challenging commercial scale assumptions (2055) — makes her the single most longitudinally significant researcher in the documented history of the non-transformer AI paradigm.


Sources