Hostname: page-component-669899f699-8p65j Total loading time: 0 Render date: 2025-04-25T20:36:46.666Z Has data issue: false hasContentIssue false
  • English
  • Français

Can we do without distributed models? Not in artificial grammar learning

Published online by Cambridge University Press:  30 August 2019

Annette Kinder
Annette Kinder
Affiliation:
Department of Psychology, Philipps-University, D-35032 Marburg, [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Page argues that localist models can be applied to a number of problems that are difficult for distributed models. However, it is easy to find examples where the opposite is true. This commentary illustrates the superiority of distributed models in the domain of artificial grammar learning, a paradigm widely used to investigate implicit learning.

Type
Brief Report
Information
Behavioral and Brain Sciences , Volume 23 , Issue 4 , August 2000 , pp. 484
Copyright
2000 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable