@article{756482,
      recid = {756482},
      author = {Ito, Sosuke,},
      title = {Information thermodynamics on causal networks and its  application to biochemical signal transduction [electronic  resource] /},
      pages = {1 online resource (xiii, 133 pages) :},
      note = {"Doctoral thesis accepted by the University of Tokyo,  Tokyo, Japan.},
      abstract = {In this book the author presents a general formalism of  nonequilibrium thermodynamics with complex information  flows induced by interactions among multiple fluctuating  systems. The author has generalized stochastic  thermodynamics with information by using a graphical  theory. Characterizing nonequilibrium dynamics by causal  networks, he has obtained a novel generalization of the  second law of thermodynamics with information that is  applicable to quite a broad class of stochastic dynamics  such as information transfer between multiple Brownian  particles, an autonomous biochemical reaction, and complex  dynamics with a time-delayed feedback control. This study  can produce further progress in the study of Maxwell's  demon for special cases. As an application to these  results, information transmission and thermodynamic  dissipation in biochemical signal transduction are  discussed. The findings presented here can open up a novel  biophysical approach to understanding information  processing in living systems.},
      url = {http://library.usi.edu/record/756482},
      doi = {https://doi.org/10.1007/978-981-10-1664-6},
}