Neural coding strategies and mechanisms of competition

Spratling, Dr M W and Johnson, Prof M H (2004) Neural coding strategies and mechanisms of competition. [Journal (Paginated)]

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A long running debate has concerned the question of whether neural representations are encoded using a distributed or a local coding scheme. In both schemes individual neurons respond to certain specific patterns of pre-synaptic activity. Hence, rather than being dichotomous, both coding schemes are based on the same representational mechanism. We argue that a population of neurons needs to be capable of learning both local and distributed representations, as appropriate to the task, and should be capable of generating both local and distributed codes in response to different stimuli. Many neural network algorithms, which are often employed as models of cognitive processes, fail to meet all these requirements. In contrast, we present a neural network architecture which enables a single algorithm to efficiently learn, and respond using, both types of coding scheme.

Item Type:Journal (Paginated)
Subjects:Neuroscience > Neural Modelling
Computer Science > Neural Nets
ID Code:3541
Deposited By: Spratling, Dr Michael
Deposited On:06 Apr 2004
Last Modified:11 Mar 2011 08:55


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