The theoretical setting of hierarchical Bayesian inference is gaining acceptance as a
framework for understanding cortical computation. In this paper, we describe how Bayesian …

This paper presents a survey of the currently available hardware designs for implementation
of the human cortex inspired algorithm, Hierarchical Temporal Memory (HTM). In this review …

(57) ABSTRACT A web-based hierarchical temporal memory (HTM) system in which one or
more client devices communicate with a remote server via a communication network. The …

Hierarchical temporal memory (HTM) is a machine learning algorithm inspired by the
information processing mechanisms of the human neocortex and consists of a spatial pooler …

Abstract Hierarchical Temporal Memory (HTM) is still largely unknown by the pattern
recognition community and only a few studies have been published in the scientific …

A spatial and temporal memory system (STMS) processes input data to detect whether
spatial patterns and/or temporal sequences of spatial patterns exist within the data, and to …

A spatio-temporal learning node is a type of HTM node which learns both spatial and
temporal groups of sensed input patterns over time. Spatio-temporal learning nodes …

Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates
the neo-cortex. The development of a scalable on-chip HTM architecture is an open …

Memory networks and methods are provided. Machine intelligence is achieved by a plurality
of linked processor units in which child modules receive input data. The input data are …

(57) ABSTRACT A hierarchy of computing modules is configured to learn a cause of input
data sensed over space and time, and is further configured to determine a cause of novel …