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Home modified by David Ragazzi

David Ragazzi — Fri, 26 Apr 2013 12:49:14 -0000

--- v10
+++ v11
@@ -8,8 +8,6 @@

 openHTM is colaborattive effort that arose with wish of a few expert HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.

-The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.
-
 If you want further information, just choose one of the options bellow:
 User documentation
 Developer documentation

WikiPage Home modified by David Ragazzi

David Ragazzi — Wed, 20 Feb 2013 11:56:10 -0000

--- v9
+++ v10
@@ -1,6 +1,6 @@
 Welcome to openHTM!

-openHTM is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence.
+openHTM is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence. 

 

@@ -13,3 +13,5 @@
 If you want further information, just choose one of the options bellow:
 User documentation
 Developer documentation
+
+It's worth recall that more than a software project, openHTM is a community composed by fans and professionals of neuroscience, cognition and AI.

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 18:09:03 -0000

--- v8
+++ v9
@@ -11,5 +11,5 @@
 The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.

 If you want further information, just choose one of the options bellow:
-User documentation
-Developer documentation
+User documentation
+Developer documentation

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 17:57:55 -0000

--- v7
+++ v8
@@ -11,5 +11,5 @@
 The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.

 If you want further information, just choose one of the options bellow:
-User documentation
-Developer documentation
+User documentation
+Developer documentation

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 13:44:29 -0000

--- v6
+++ v7
@@ -11,5 +11,5 @@
 The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.

 If you want further information, just choose one of the options bellow:
-[User documentation](/p/openhtm/wiki/user_documentation/)
-[Developer documentation](/p/openhtm/wiki/developer_documentation/)
+User documentation
+Developer documentation

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 13:39:10 -0000

--- v5
+++ v6
@@ -2,15 +2,14 @@

 openHTM is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence.

+
+
 Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.

-
-
-openHTM is colaborattive effort that arose with wish of a few competent HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.
+openHTM is colaborattive effort that arose with wish of a few expert HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.

 The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.

 If you want further information, just choose one of the options bellow:
 [User documentation](/p/openhtm/wiki/user_documentation/)
 [Developer documentation](/p/openhtm/wiki/developer_documentation/)
-

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 13:36:59 -0000

--- v4
+++ v5
@@ -1,8 +1,10 @@
-#Welcome to openHTM!#
+Welcome to openHTM!

-**openHTM** is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence.
+openHTM is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence.

 Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.
+
+

 openHTM is colaborattive effort that arose with wish of a few competent HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.

@@ -11,3 +13,4 @@
 If you want further information, just choose one of the options bellow:
 [User documentation](/p/openhtm/wiki/user_documentation/)
 [Developer documentation](/p/openhtm/wiki/developer_documentation/)
+

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 13:03:13 -0000

--- v3
+++ v4
@@ -1,6 +1,6 @@
 #Welcome to openHTM!#

-**openHTM** is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins and his company, Numenta.
+**openHTM** is an open-source implementation of the HTM Cortical Learning Algorithms basead on the brain theory proposed by Jeff Hawkins in his book On Intelligence.

 Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 11:55:47 -0000

--- v2
+++ v3
@@ -1,8 +1,8 @@
-Welcome to your wiki!
+#Welcome to openHTM!#

-openHTM is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins and his company, Numenta.
+**openHTM** is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins and his company, Numenta.

-"Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world."
+Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world.

 openHTM is colaborattive effort that arose with wish of a few competent HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.

WikiPage Home modified by David Ragazzi

David Ragazzi — Fri, 01 Feb 2013 11:51:52 -0000

--- v1
+++ v2
@@ -1,8 +1,13 @@
 Welcome to your wiki!

-This is the default page, edit it as you see fit. To add a new page simply reference it within brackets, e.g.: [SamplePage].
+openHTM is an open-source implementation of the HTM Cortical Learning Algorithms initially proposed by Jeff Hawkins and his company, Numenta.

-The wiki uses [Markdown](/p/openhtm/wiki/markdown_syntax/) syntax.
+"Hierarchical temporal memory (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex. HTM is a biomimetic model based on the memory-prediction theory of brain function described by Jeff Hawkins in his book On Intelligence. HTM is a method for discovering and inferring the high-level causes of observed input patterns and sequences, thus building an increasingly complex model of the world."

-[[project_admins]]
-[[download_button]]
+openHTM is colaborattive effort that arose with wish of a few competent HTM fans of implement and improve the current state of the HTM algoritms discussed on the Numenta white papers.
+
+The algorithm is based on Barry Matukarnich's implementation which was later improved with UI representation and other features by Uwe Kirschenmann.
+
+If you want further information, just choose one of the options bellow:
+[User documentation](/p/openhtm/wiki/user_documentation/)
+[Developer documentation](/p/openhtm/wiki/developer_documentation/)