Daniel Koch

This paper investigates the role of slow dynamics in neural computation, showing that structured transient dynamics enable temporal computation and generalization.

The paper introduces a framework called signaling homeorhesis to explain how cells interpret growth factor signals over time to produce distinct phenotypes.

The paper shows that PLN pentamers act as noise-filters in β-adrenergic signaling by regulating monomer phosphorylation and stabilizing SERCA activity despite PKA activity fluctuations.

This paper explores mathematical models of homo-oligomerisation, showing it can generate complex dynamics, homeostasis, ultrasensitivity, and bistability in signal transduction.