International Business Machines Corporation
Temporal memory adapted for single-shot learning and disambiguation of multiple predictions

Abstract:

Single-shot learning and disambiguation of multiple predictions in hierarchical temporal memory is provided. In various embodiments an input sequence is read. The sequence comprises first, second, and third time-ordered components. Each of the time-ordered components is encoded in a sparse distributed representation. The sparse distributed representation of the first time-ordered component is inputted into a first portion of a hierarchical temporal memory. The sparse distributed representation of the second time-ordered component is inputted into a second portion of the hierarchical temporal memory. The second portion is connected to the first portion by a first plurality of synapses. A plurality of predictions as to the third time-ordered component is generated within a third portion of the hierarchical temporal memory. The third portion is connected to the second portion by a second plurality of synapses. Based on the plurality of predictions, additional synaptic connections are added between the first portion and the second portion.