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17 - Memory and attractor dynamics

Published online by Cambridge University Press:  05 August 2014

Wulfram Gerstner
Affiliation:
École Polytechnique Fédérale de Lausanne
Richard Naud
Affiliation:
University of Ottawa
Liam Paninski
Affiliation:
Columbia University, New York
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Summary

Humans remember important events in their lives. You might be able to recall every detail of your first exam at college, or of your first public speech, or of your first day in kindergarten, or of the first time you went to a new school after your family moved to a new city. Human memory works with associations. If you hear the voice of an old friend on the phone, you may spontaneously recall stories that you had not thought of for years. If you are hungry and see a picture of a banana, you might vividly recall the taste and smell of a banana … and thereby realize that you are indeed hungry.

In this chapter, we present models of neural networks that describe the recall of previously stored items from memory. In Section 17.1 we start with a few examples of associative recall to prepare the stage for the modeling work later on. In Section 17.2 we introduce an abstract network model of memory recall, known as the Hopfield model. We take this network as a starting point and add, in subsequent sections, some biological realism to the model.

Associations and memory

A well-known demonstration of the strong associations which are deeply embedded in the human brain is given by the following task. The aim is to respond as quickly as possible to three questions.

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Chapter
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Neuronal Dynamics
From Single Neurons to Networks and Models of Cognition
, pp. 442 - 466
Publisher: Cambridge University Press
Print publication year: 2014

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