**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

**Essential Coding Theory**

by

**Venkatesan Guruswami, Atri Rudra, Madhu Sudan**-

**University at Buffalo**

Error-correcting codes are clever ways of representing data so that one can recover the original information even if parts of it are corrupted. The basic idea is to introduce redundancy so that the original information can be recovered ...

(

**1445**views)

**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.

(

**6853**views)

**Network Coding Theory**

by

**Raymond Yeung, S-Y Li, N Cai**-

**Now Publishers Inc**

A tutorial on the basics of the theory of network coding. It presents network coding for the transmission from a single source node, and deals with the problem under the more general circumstances when there are multiple source nodes.

(

**10410**views)

**Information, Entropy and Their Geometric Structures**

by

**Frederic Barbaresco, Ali Mohammad-Djafari**-

**MDPI AG**

The aim of this book is to provide an overview of current work addressing topics of research that explore the geometric structures of information and entropy. This survey will motivate readers to explore the emerging domain of Science of Information.

(

**1697**views)