Dynamic thresholds for controlling encoding and retrieval operations in localist (or distributed) neural networks: The need for biologically plausible implementations
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):488-489 (2000)
A dynamic threshold, which controls the nature and course of learning, is a pivotal concept in Page's general localist framework. This commentary addresses various issues surrounding biologically plausible implementations for such thresholds. Relevant previous research is noted and the particular difficulties relating to the creation of so-called instance representations are highlighted. It is stressed that these issues also apply to distributed models.
|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
André Grüning & Alessandro Treves (2006). Distributed Neural Blackboards Could Be More Attractive. Behavioral and Brain Sciences 29 (1):79-80.
Robert M. French & Elizabeth Thomas (2000). Why Localist Connectionist Models Are Inadequate for Categorization. Behavioral and Brain Sciences 23 (4):477-477.
Paul A. Koch & Gerry Leisman (2004). The Local is Running on the Express Track: Localist Models Better Facilitate Understanding of Nervous System Function. Behavioral and Brain Sciences 27 (5):700-700.
Simon Farrell & Stephan Lewandowsky (2000). The Case Against Distributed Representations: Lack of Evidence. Behavioral and Brain Sciences 23 (4):476-477.
Ingmar Visser (2000). Hidden Markov Model Interpretations of Neural Networks. Behavioral and Brain Sciences 23 (4):494-495.
Mike Page (2000). Sticking to the Manifesto. Behavioral and Brain Sciences 23 (4):496-505.
Gail A. Carpenter (2000). Combining Distributed and Localist Computations in Real-Time Neural Networks. Behavioral and Brain Sciences 23 (4):473-474.
Norman D. Cook (2000). Localist Representations and Theoretical Clarity. Behavioral and Brain Sciences 23 (4):474-475.
Colin Martindale (2000). Localist Representations Are a Desirable Emergent Property of Neurologically Plausible Neural Networks. Behavioral and Brain Sciences 23 (4):485-486.
Mike Page (2000). Connectionist Modelling in Psychology: A Localist Manifesto. Behavioral and Brain Sciences 23 (4):443-467.
Added to index2009-01-28
Total downloads2 ( #708,184 of 1,911,412 )
Recent downloads (6 months)1 ( #455,910 of 1,911,412 )
How can I increase my downloads?