Information‐theoretic bounds in source coding and guessing lie at the heart of quantifying uncertainty, compression efficiency and search complexity. In source coding, Shannon’s entropy and its ...

This repository provides an example implementation for the paper A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry by Martin Lindström, Borja Rodríguez Gálvez, Ragnar ...

Information theory provides the mathematical foundation for the design and analysis of coding schemes and communication networks. At its core lie measures of uncertainty, such as entropy, and metrics ...

Abstract: Understanding the guiding principles of sensory coding strategies is a main goal in computational neuroscience. Among others, the principles of predictive coding and slowness appear to ...

Neural coding, the long-standing problem of understanding how neurons encode and transmit information, remains a fundamental challenge in neuroscience. Recent advances in information theory have ...