Time Encoding and Decoding Toolkit

Introduction

The Time Encoding and Decoding Toolkit (TED) is a library of Python routines, classes, and demo programs that implement time encoding and decoding algorithms. A MATLAB implementation of the toolbox is also available from the Bionet Group’s code repository page.

Additional algorithms for encoding and decoding video signals implemented in Python are available in the Video Time Encoding and Decoding Toolkit.

To get started using the toolbox, go to the installation page and try running the demos. Check out the overview page for a high-level introduction to time encoding and decoding concepts.

Contents

• Installation Instructions
  • Obtaining the Latest Software
  • Prerequisites
  • Building and Installation
• Overview of Time Encoding and Decoding
  • What is Time Encoding?
  • What is Time Decoding?
  • What are Time Encoding Machines?
  • What are Time Decoding Machines?
  • Why Should Neuroscientists Care About Time Encoding?
  • Why Should Engineers/Computer Scientists Care About Time Encoding?
  • Further Reading
• Time Encoding and Decoding Machines
  • Asynchronous Sigma-Delta Modulators
  • Integrate-and-Fire Neurons
• Reference
  • TED Modules
  • Utility Modules
• Publications
• Authors & Acknowledgments
• License
• Change Log
  • Release 0.7.1 - (Under Development)
  • Release 0.07 - (August 8, 2012)
  • Release 0.062 - (September 19, 2011)
  • Release 0.061 - (November 24, 2010)
  • Release 0.06 - (September 17, 2010)
  • Release 0.051 - (June 9, 2010)
  • Release 0.05 - (June 1, 2010)
  • Release 0.04 - (April 19, 2010)
  • Release 0.03 - (November 12, 2009)
  • Release 0.021 - (October 23, 2009)
  • Release 0.02 - (June 26,2009)
  • Release 0.011 - (May 08, 2009)
  • Release 0.01 - (May 08, 2009)

Index

• Index
• Search Page