Quantifying Information without Entropy: Identifying Intermittent Disturbances in Dynamical Systems.

ABSTRACT: A system's response to disturbances in an internal or external driving signal can be characterized as performing an implicit computation, where the dynamics of the system are a manifestation of its new state holding some memory about those disturbances. Identifying small disturbances in the response signal requires detailed information about the dynamics of the inputs, which can be challenging. This paper presents a new method called the Information Impulse Function (IIF) for detecting and time-localizing small disturbances in system response data. The novelty of IIF is its ability to measure relative information content without using Boltzmann's equation by modeling signal transmission as a series of dissipative steps. Since a detailed expression of the informational structure in the sign

SUBMITTER: Montoya A 

PROVIDER: S-EPMC7712588 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature