Speaker
Heinz Koeppl
(TU Darmstadt)
Description
Biological information processing is constrained by energetic costs, making it natural to treat information flow and dissipation jointly. We develop a unified framework for continuous-time chemical reaction networks (CRNs) that couples trajectory-level mutual and directed information between disjoint species sets with process-based stochastic thermodynamics for open, multi-reservoir systems. The formulation covers causal conditioning and indistinguishable reactions at the subnetwork level arising from multiple reservoir coupling or projection. We also give a conversion from species–reaction graphs to local-independence graphs on reactions and link local independence to causally conditioned directed information.
Author
Heinz Koeppl
(TU Darmstadt)
