Putting distributed representations into context

Research output: Contribution to journalArticlepeer-review


The merits of distributed representations are widely discussed but, I believe, largely misunderstood. My purpose in this paper is to put the issue of distributed representations into context. I will argue that the term distributed is only meaningful with respect to that which is being represented and that degree to which a localist or a distributed code is more desirable depends on the goals of the computation to be performed. I will also argue that localist codes play an essential role in symbolic neural computation.

Original languageEnglish (US)
Pages (from-to)359-365
Number of pages7
JournalLanguage, Cognition and Neuroscience
Issue number3
StatePublished - Mar 16 2017


  • Localist
  • connectionism
  • distributed
  • neural representation

ASJC Scopus subject areas

  • Language and Linguistics
  • Experimental and Cognitive Psychology
  • Linguistics and Language
  • Cognitive Neuroscience


Dive into the research topics of 'Putting distributed representations into context'. Together they form a unique fingerprint.

Cite this