Sequence Memory for Prediction, Inference, and Behavior

Jeff Hawkins, Dileep George and Jamie Niemasik

in Predictions in the Brain

Published in print April 2011 | ISBN: 9780195395518
Published online September 2011 | e-ISBN: 9780199897230 | DOI:
Sequence Memory for Prediction, Inference, and Behavior

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This chapter proposes a mechanism that the neocortex may use to store sequences of patterns. Storing and recalling sequences is necessary for making predictions, recognizing time-based patterns, and generating behavior. Since these tasks are major functions of the neocortex, the ability to store and recall time-based sequences is likely a key attribute of many, if not all, cortical areas. Previously, it was proposed that the neocortex can be modeled as a hierarchy of memory regions, each of which learns and recalls sequences. The chapter proposes how each region of neocortex might learn the sequences necessary for this theory. The basis of the proposal is that all the cells in a cortical column share bottom-up receptive field properties, but individual cells in a column learn to represent unique incidences of the bottom-up receptive field property within different sequences. The proposal, the biological constraints that led to it, and some results modeling it are discussed.

Keywords: neocortex; brain; patterns; memory; sequences; predictions

Chapter.  6176 words.  Illustrated.

Subjects: Cognitive Psychology

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