title: Approaches to Information-Theoretic Analysis of Neural Activity.
abstract: Understanding how neurons represent, process, and manipulate information is one of the main goals of neuroscience. These issues are fundamentally abstract, and information theory plays a key role in formalizing and addressing them. However, 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 complementary domains of applicability, assumptions, and goals.
authors.affiliation: Department of Neurology and Neuroscience Weill Medical College of Cornell University New York, NY, USA.
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Victor