Speaker
Jinsu Kim
(Pohang University of Science and Technology)
Description
We investigate a reservoir computing framework based on unimolecular (linear) chemical reaction networks. While the mean-field dynamics are linear, stochastic dynamics can induce richer input–output behaviour through long-time statistics. Using tools from ergodic theory and reaction network structure, we study how such systems generate feature representations and assess their expressive potential under simple readouts, with preliminary indications of universal approximation under suitable conditions. These observations suggest that stochasticity and long-time behaviour can enable nonlinear computation within structurally simple biochemical systems.
Author
Jinsu Kim
(Pohang University of Science and Technology)
