Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-30T21:23:50.791Z Has data issue: false hasContentIssue false
  • English
  • Français

Distributed neural blackboards could be more attractive

Published online by Cambridge University Press:  15 March 2006

André Grüning  and
Alessandro Treves
André Grüning
Affiliation:
Cognitive Neuroscience Sector, Scuola Internazionale Superiore di Studi Avanzati (SISSA), 34104 Trieste, [email protected] http://www.sissa.it/~gruening [email protected] http://www.sissa.it/~ale/limbo.htm
Alessandro Treves
Affiliation:
Cognitive Neuroscience Sector, Scuola Internazionale Superiore di Studi Avanzati (SISSA), 34104 Trieste, [email protected] http://www.sissa.it/~gruening [email protected] http://www.sissa.it/~ale/limbo.htm
Get access Rights & Permissions [Opens in a new window]

Abstract

The target article demonstrates how neurocognitive modellers should not be intimidated by challenges such as Jackendoff's and should explore neurally plausible implementations of linguistic constructs. The next step is to take seriously insights offlered by neuroscience, including the robustness allowed by analogue computation with distributed representations and the power of attractor dynamics in turning analogue into nearly discrete operations.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 29 , Issue 1 , February 2006 , pp. 79 - 80
Copyright
© 2006 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.)