Real Machine Intelligence with Clortex and NuPIC

Real Machine Intelligence with Clortex and NuPIC

Fergal Byrne
Buy on Leanpub

Table of Contents

Real Machine Intelligence with Clortex and NuPIC

  • Preface
    • Numenta Platform for Intelligent Computing (NuPIC)
    • Clortex
    • Credits
  • Introduction
  • One: Perspective
    • Brain Theory as a Basis for AI
    • Machine Intelligence versus Machine Learning
  • Two: Jeff Hawkins’ Theory of the Neocortex
    • Hierarchical Temporal Memory and the Cortical Learning Algorithm
    • A Little Neuroscience Primer
    • Neuroscience in Plain Language
  • Three: The Cortical Learning Algorithm
    • The CLA Model Neuron
    • The CLA Model of a Neocortical Region
    • Sparse Distributed Representations
    • Creating a Sparse Distributed Representation: Pattern Memory (Spatial Pooling)
    • Prediction Part I - Transition Memory
    • Prediction Part II - Sequence Memory
  • Four: Numenta Platform for Intelligent Computing (NuPIC)
    • Turning Theory into Practice
    • How NuPIC works
    • The NuPIC Community
    • NuPIC Architecture
    • nupic.core
    • Some Applications
    • CEPT - The Cortical Engine for Processing Text
  • Five: Clortex - A Complementary Project
    • Introduction
    • Design Goals
    • Design Philosophy
    • Platform - Clojure, Functional Programming on the Java Virtual Machine
    • Architecture - Russ Miles’ Life Preserver
  • What’s Next?
    • Jeff’s New Theory - Sensorimotor HTM
    • Third-party Projects Based on HTM
  • Appendix 1 - NuPIC Resources
  • Appendix 2: Clortex Resources
  • Appendix 3: Further Reading and Resources
    • HTM Projects and Information
    • Online Courses
  • Appendix 4: Mathematics of HTM
    • The HTM Model Neuron - Pattern Memory (aka Spatial Pooling)
    • Transition Memory - Making Predictions
  • Draft White Paper 2014
    • Chapter 1 - Hierarchical Temporal Memory (HTM) Overview
    • Chapter 2: HTM Cortical Learning Algorithms
    • Chapter 3: Spatial Pooling Implementation and Pseudocode
    • Chapter 4: Temporal Pooling Implementation and Pseudocode
    • Appendix A: A Comparison between Biological Neurons and HTM Cells
    • Appendix B: A Comparison of Layers in the Neocortex and an HTM Region
    • Glossary
  • Efficiency of Predicted Sparseness as a Motivating Model for Hierarchical Temporal Memory
    • Part 1 - Introduction and Description.
    • Hierarchy
    • Regions
    • Layers
    • Columns
    • Neurons
    • Dendrites
    • Synapses
Real Machine Intelligence with Clortex and NuPIC/overview

Real Machine Intelligence with Clortex and NuPIC

course_overview

count_chapters
begin_reading
download
p_implied_book_part_name

Real Machine Intelligence with Clortex and NuPIC14 chapters

Begin ›
  1. Preface

  2. Introduction

  3. One: Perspective

  4. Two: Jeff Hawkins’ Theory of the Neocortex

  5. Three: The Cortical Learning Algorithm

  6. Four: Numenta Platform for Intelligent Computing (NuPIC)

  7. Five: Clortex - A Complementary Project

  8. What’s Next?

  9. Appendix 1 - NuPIC Resources

  10. Appendix 2: Clortex Resources

  11. Appendix 3: Further Reading and Resources

  12. Appendix 4: Mathematics of HTM

  13. Draft White Paper 2014

  14. Efficiency of Predicted Sparseness as a Motivating Model for Hierarchical Temporal Memory