AI Chat AI Image Generator AI Video Text to Speech

Encoding Data for HTM Systems

02/18/2016

∙

by Scott Purdy, et al.

∙

∙

Hierarchical Temporal Memory (HTM) is a biologically inspired machine intelligence technology that mimics the architecture and processes of the neocortex. In this white paper we describe how to encode data as Sparse Distributed Representations (SDRs) for use in HTM systems. We explain several existing encoders, which are available through the open source project called NuPIC, and we discuss requirements for creating encoders for new types of data.

research

∙ 07/11/2023

Duncode Characters Shorter

This paper investigates the employment of various encoders in text trans...

0 Changshang Xue, et al. ∙

research

∙ 03/25/2015

Properties of Sparse Distributed Representations and their Application to Hierarchical Temporal Memory

Empirical evidence demonstrates that every region of the neocortex repre...

0 Subutai Ahmad, et al. ∙

research

∙ 11/12/2021

Thermodynamics of Encoding and Encoders

Non-isolated systems have diverse coupling relations with the external e...

0 Yang Tian, et al. ∙

research

∙ 02/18/2021

On the advantages of stochastic encoders

Stochastic encoders have been used in rate-distortion theory and neural ...

0 Lucas Theis, et al. ∙

research

∙ 09/01/2020

A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP

The brain is known to be a highly complex, asynchronous dynamical system...

5 Matthew Evanusa, et al. ∙

research

∙ 03/21/2011

BoolVar/PB v1.0, a java library for translating pseudo-Boolean constraints into CNF formulae

BoolVar/PB is an open source java library dedicated to the translation o...

0 Olivier Bailleux, et al. ∙

research

∙ 07/18/2018

Video Time: Properties, Encoders and Evaluation

Time-aware encoding of frame sequences in a video is a fundamental probl...

8 Amir Ghodrati, et al. ∙