Approaches to Information-Theoretic Analysis of Neural Activity. Academic Article uri icon

Overview

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.

publication date

  • January 1, 2006

Identity

PubMed Central ID

  • PMC2709861

PubMed ID

  • 19606267

Additional Document Info

volume

  • 1

issue

  • 3