Add to ORKGOver the last decade, fully distributed models have become dominant in connectionist psychological modelling, whereas the virtues of localist models have been underestimated. This target article illustrates some of the benefits of localist modelling. Localist models are characterized by the presence of localist representations rather than the absence of distributed representations. A generalized localist model is proposed that exhibits many of the properties of fully distributed models. It can be applied to a number of problems that are difficult for fully distributed models, and its applicability can be extended through comparisons with a number of classic mathematical models of behaviour. There are reasons why localist models have been un...
According to Bowers, the finding that there are neurons with highly selective responses to familiar ...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...
Over the last decade, fully distributed models have become dominant in connectionist psychological m...
Localist networks represent information in a very simple and straightforward way. However, localist ...
In this article, I present the theory that localist representation is used widely in the brain start...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
This is an Accepted Manuscript of an article published by Taylor & Francis in Language, Cognition an...
In order to benefit from the advantages of localist coding, neural models that feature winner-take-a...
The author has performed an important service by dispelling several myths and misconceptions concern...
Distributed connectionist models of mental representation (also termed PDP or parallel distributed p...
Social psychologists can benefit from exploring connectionist or parallel distributed processing mod...
The question of how information can be represented in networks of neurons is central to cognitive sc...
Michael Page, ‘Paying Attention to Relevant Dimensions: A Localist Approach’, in Robert M. French an...
The question of how information can be represented in networks of neurons is central to cognitive sc...
According to Bowers, the finding that there are neurons with highly selective responses to familiar ...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...
Over the last decade, fully distributed models have become dominant in connectionist psychological m...
Localist networks represent information in a very simple and straightforward way. However, localist ...
In this article, I present the theory that localist representation is used widely in the brain start...
Connectionism is the theory that sees brain in terms of neural or parallel distributed processing ne...
This is an Accepted Manuscript of an article published by Taylor & Francis in Language, Cognition an...
In order to benefit from the advantages of localist coding, neural models that feature winner-take-a...
The author has performed an important service by dispelling several myths and misconceptions concern...
Distributed connectionist models of mental representation (also termed PDP or parallel distributed p...
Social psychologists can benefit from exploring connectionist or parallel distributed processing mod...
The question of how information can be represented in networks of neurons is central to cognitive sc...
Michael Page, ‘Paying Attention to Relevant Dimensions: A Localist Approach’, in Robert M. French an...
The question of how information can be represented in networks of neurons is central to cognitive sc...
According to Bowers, the finding that there are neurons with highly selective responses to familiar ...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...
In a recent article, Bowers (2009) argues that local representations are more consistent with neuro-...