Chemical signaling is a ubiquitous component of biochemical systems and also used for their study in the form of microfluidics. Often such chemical signaling is considered a form of communication—known as molecular communication—where information is carried by molecules in a fluid rather than, for example, electromagnetic waves. In this talk, I will discuss how techniques from information theory connect with molecular communication in biochemical systems. As a key component of molecular communication is the dynamics of information-carrying molecules, stochastic reaction-diffusion models are critical for understanding the success or failure of the communication. An important aspect is therefore the study of underlying reaction-diffusion PDE models, due to the computational complexity of simulation and difficulty in obtaining tractable solutions of the Fokker-Planck equation for the stochastic model. I will highlight in particular the importance of convergence to equilibrium for molecular communications.
- Prof. Malcolm Egan (Inria Lyon)
- Tuesday, 19.10.2021, 12:15
- HS 11.02 or unitube.uni-graz.at
