Approaches to information-theoretic analysis of neural activity

Understanding how neurons represent, process, and manip-ulate information is one of the main goals of neuroscience. These issues are fundamentally abstract, and information the-ory plays a key role in formalizing and addressing them. How-ever, application of information theory to experimental data is fraught with many challenges. Meeting these challenges has led to a variety of innovative analytical techniques, with com-plementary domains of applicability, assumptions, and goals