Jeff Hawkins • WhitepaperThere have been changes in our thinking, in algorithm implementation, in terminology and in other areas since this paper was written, rendering part of this paper obsolete. Much of this paper has been replaced by BAMI and the current white papers, and we will continue to provide updated material in subsequent releases of BAMI.
About
At the heart of Hierarchical Temporal Memory (HTM), our machine intelligence technology, are time-based learning algorithms that store and recall spatial and temporal patterns. This paper describes how the learning algorithms work and their biological mapping.
Note: This paper refers to the HTM learning algorithm as the Cortical Learning Algorithm, or CLA; we have recently decided to sunset this term as our technology has evolved.
Translations Available
| Language | Code | Translator | Link |
|---|---|---|---|
| Chinese | CN | Yu Tianxiang | Download |
| French | FR | Laurent Julliard | Download |
| German | DE | Ingmar Baetge | Download |
| Japanese | JP | Akihiro Yoshikawa | Download |
| Korean | KR | Jihoon Oh | Download |
| Portuguese | PT | David Ragazzi | Download |
| Russian | RU | Mikhaile Netov | Download |
| Spanish | ES | Garikoitz Lerma Usabiaga | Download |