python-pyentropy – Python module for estimation information theoretic quantities

A Python module for estimation of entropy and information theoretic quantities using cutting edge bias correction methods, such as

  • Panzeri-Treves (PT)
  • Quadratic Extrapolation (QE)
  • Nemenman-Shafee-Bialek (NSB)
Reference:
Ince, R. A. A., Petersen, R. S., Swan, D. C., Panzeri, S. (2009). Python for Information Theoretic Analysis of Neural Data. Frontiers in Neuroinformatics, 3, . [Abstract] [DOI]
Package availability chart
Distribution Base version Our version Architectures
Debian GNU/Linux 7.0 (wheezy) 0.4.1-1 0.4.1-1~nd70+1 i386, amd64, sparc, armel
Debian GNU/Linux 8.0 (jessie) 0.4.1-1 0.4.1-1~nd70+1 i386, amd64, sparc, armel
Debian GNU/Linux 9.0 (stretch)   0.4.1-1~nd70+1+nd90+1 i386, amd64, sparc, armel
Debian unstable (sid) 0.4.1-2 0.4.1-1~nd+1 i386, amd64, sparc, armel
Ubuntu 12.04 LTS “Precise Pangolin” (precise) 0.4-1.1build1 0.4.1-1~nd12.04+1 i386, amd64, sparc
Ubuntu 14.04 “Trusty Tahr” (trusty) 0.4.1-1    
Ubuntu 16.04 “Xenial Xerus” (xenial) 0.4.1-2    
Ubuntu 16.10 “Yakkety Yak” (yakkety) 0.4.1-2    
Ubuntu 17.04 “Zesty Zapus” (zesty) 0.4.1-2    
Ubuntu 17.10 “Artful Aardvark” (artful) 0.4.1-2    

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