**A primer on information theory, with applications to neuroscience**

by Felix Effenberger

**Publisher**: arXiv 2013**Number of pages**: 58

**Description**:

This chapter is supposed to give a short introduction to the fundamentals of information theory; not only, but especially suited for people having a less firm background in mathematics and probability theory. Regarding applications, the focus will be on neuroscientific topics.

Download or read it online for free here:

**Download link**

(1MB, PDF)

## Similar books

**A Short Course in Information Theory**

by

**David J. C. MacKay**-

**University of Cambridge**

This text discusses the theorems of Claude Shannon, starting from the source coding theorem, and culminating in the noisy channel coding theorem. Along the way we will study simple examples of codes for data compression and error correction.

(

**12431**views)

**Algorithmic Information Theory**

by

**Peter D. Gruenwald, Paul M.B. Vitanyi**-

**CWI**

We introduce algorithmic information theory, also known as the theory of Kolmogorov complexity. We explain this quantitative approach to defining information and discuss the extent to which Kolmogorov's and Shannon's theory have a common purpose.

(

**9309**views)

**Conditional Rate Distortion Theory**

by

**Robert M. Gray**-

**Information Systems Laboratory**

The conditional rate-distortion function has proved useful in source coding problems involving the possession of side information. This book represents an early work on conditional rate distortion functions and related theory.

(

**8253**views)

**Quantum Information Theory**

by

**Robert H. Schumann**-

**arXiv**

A short review of ideas in quantum information theory. Quantum mechanics is presented together with some useful tools for quantum mechanics of open systems. The treatment is pedagogical and suitable for beginning graduates in the field.

(

**15015**views)