Information theory provides a mathematical framework for quantifying information and uncertainty, forming the backbone of modern communication, signal processing, and data analysis. Central to this ...

While there are several theories of memory that describe how learners take in, store, and retrieve information, the simplest theory for our purposes breaks memory into the following parts: For the ...

This course gives students analytical tools to quantify information, perform inference, and study the relationship of information and learning. The course covers information measures, the source and ...

The identities or bounds that relate information measures (e.g., the entropy and mutual information) and estimation measures (e.g., the minimum means square error ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

This is Part 4 of a five-part series. Integrated information theory (IIT) is a theory of consciousness. It was first formulated by the neuroscientist and psychiatrist Giulio Tononi in the early 2000s ...

The conscious experience of our surroundings involves several forms of attention, from bottom-up automatic attention to a more focused top-down attention. These forms of attention all rely on neural ...