Editing Memory-prediction framework (section)

=== Models based on Bayesian networks ===
The following models use belief propagation or [[belief revision]] in singly connected [[Bayesian network]]s.
* [[Hierarchical Temporal Memory]] (HTM), a model, a related development platform and source code by Numenta, Inc. (2008).
* [http://www.numenta.com/phpBB2/download.php?id=130 HtmLib]{{Dead link|date=November 2012}}, an alternative implementation of HTM algorithms by Greg Kochaniak with a number of modifications for improving the recognition accuracy and speed (2008).
* [http://sourceforge.net/projects/neocortex/ Project Neocortex], an open source project for modeling memory-prediction framework (2008).
** [https://web.archive.org/web/20061013134333/http://www.phillylac.org/prediction/ Saulius Garalevicius' research page], research papers and programs presenting experimental results with a model of the memory-prediction framework, a basis for the Neocortex project (2007).
* {{cite document | title = A Hierarchical Bayesian Model of Invariant Pattern Recognition in the Visual Cortex | first = Dileep | last = George | year = 2005 | pages = 1812–1817 |publisher=IEEE}} a paper describing earlier pre-HTM Bayesian model by the co-founder of Numenta. This is the first model of memory-prediction framework that uses Bayesian networks and all the above models are based on these initial ideas. Matlab source code of this model had been freely available for download for a number of years.