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A Simple Reservoir Model of Working Memory with Real Values

Authors
  • Strock, Anthony
  • Rougier, Nicolas
  • Hinaut, Xavier
Publication Date
Jul 08, 2018
Source
Kaleidoscope Open Archive
Keywords
Language
English
License
Unknown
External links

Abstract

The prefrontal cortex is known to be involved in many high-level cognitive functions, in particular, working memory. Here, we study to what extent a group of randomly connected units (namely an Echo State Network, ESN) can store and maintain (as output) an arbitrary real value from a streamed input, i.e. can act as a sustained working memory unit. Furthermore, we explore to what extent such an architecture can take advantage of the stored value in order to produce non-linear computations. Comparison between different architectures (with and without feedback, with and without a working memory unit) shows that an explicit memory improves the performances.

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