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Cognitive Computation

, Volume 7, Issue 5, pp 509–525 | Cite as

A Neural Network Model of Episode Representations in Working Memory

  • Martin TakacEmail author
  • Alistair Knott
Article

Abstract

We present a neural network model of the storage of episode representations in working memory (WM). Our key idea is that episodes are encoded in WM as prepared sensorimotor routines, i.e. as prepared sequences of attentional and motor operations. Our network reproduces several experimental findings about the representation of prepared sequences in prefrontal cortex. Interpreted as a model of WM episode representations, it has useful applications in an account of long-term memory for episodes and in accounts of sentence processing.

Keywords

Working memory Neural network modelling Sequence learning Action preparation Language processing 

Notes

Acknowledgments

This research was supported by NZ Marsden Fund, and partially supported by grants VEGA 1/0898/14 and KEGA 076UK-4/2013 for Martin Takac. We are grateful to Lubica Benuskova and Igor Farkas for helpful discussions.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of OtagoDunedinNew Zealand
  2. 2.Centre for Cognitive Science FMFI UKComenius UniversityBratislavaSlovakia

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