In this video, I give an introduction to the field of computational cognitive modeling (i.e. modeling minds through algorithms) in general, and connectionist modeling (i.e. using artificial neural networks for the modeling) in particular. We deal with the following topics:

  • The purpose of computational cognitive modeling
  • Where connectionist models fit into the broader picture
  • How connectionist models work internally (including an introduction to artificial neural networks)
  • landmark study that models language use with ANNs (“Finding Structure in Time”, Elman, 1990)
  • The impact of connectionist modeling on cognitive neuropsychology


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