David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Behavioral and Brain Sciences 23 (4):474-475 (2000)
In the Localist Manifesto, Page enumerated several computational advantages that localist representations have over distributed representations, but the most important difference between such networks concerns their theoretical clarity. Distributed representations are normally closed to theoretical interpretation and, for that reason, contribute little to psychology, whereas the meaning of the information processing in networks using localist representations can be transparent.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
John E. Hummel (2000). Localism as a First Step Toward Symbolic Representation. Behavioral and Brain Sciences 23 (4):480-481.
Ingmar Visser (2000). Hidden Markov Model Interpretations of Neural Networks. Behavioral and Brain Sciences 23 (4):494-495.
Mike Page (2000). Connectionist Modelling in Psychology: A Localist Manifesto. Behavioral and Brain Sciences 23 (4):443-467.
Colin Martindale (2000). Localist Representations Are a Desirable Emergent Property of Neurologically Plausible Neural Networks. Behavioral and Brain Sciences 23 (4):485-486.
Stephen Grossberg (2000). Localist but Distributed Representations. Behavioral and Brain Sciences 23 (4):478-479.
Gail A. Carpenter (2000). Combining Distributed and Localist Computations in Real-Time Neural Networks. Behavioral and Brain Sciences 23 (4):473-474.
Horace Barlow & Anthony Gardner-Medwin (2000). Localist Representation Can Improve Efficiency for Detection and Counting. Behavioral and Brain Sciences 23 (4):467-468.
Robert M. French & Elizabeth Thomas (2000). Why Localist Connectionist Models Are Inadequate for Categorization. Behavioral and Brain Sciences 23 (4):477-477.
Jeffrey S. Bowers (2000). Further Arguments in Support of Localist Coding in Connectionist Networks. Behavioral and Brain Sciences 23 (4):471-471.
Simon Farrell & Stephan Lewandowsky (2000). The Case Against Distributed Representations: Lack of Evidence. Behavioral and Brain Sciences 23 (4):476-477.
Added to index2009-01-28
Total downloads2 ( #685,865 of 1,906,808 )
Recent downloads (6 months)1 ( #468,570 of 1,906,808 )
How can I increase my downloads?