The accuracy of prediction is, however, fundamentally limited by how much information is extracted from the past signal. How close organisms can come to this information bound is not known. Here we show that cellular systems can extract the signal characteristics that are most informative about the future, allowing them to reach the information bound. However, the bits of past information that are most informative are also the most costly, in terms of protein copies and energy. As a result, the optimal system that maximizes the prediction accuracy under a resource constraint is, in general, not at the information bound. lt means that systems that maximize predictive power under a resource constraint differ from those that maximize this under an information-compression constraint. These findings have implications for the optimal design of both natural and man-made information-processing systems.

When? Jun 6, 2024 05:30 PM Amsterdam, Berlin, Rome, Stockholm, Vienna

Join the Zoom Meeting with the host Ralf Steuer: https://univienna.zoom.us/meeting/register/u5crceitpzMpHNR5-QaJImZ4SgR9j3x9nBQO