Cogprints

A self-organising neural network for modelling cortical development

Spratling, Michael and Hayes, Gillian (1998) A self-organising neural network for modelling cortical development. [Conference Paper]

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Abstract

This paper presents a novel self-organising neural network. It has been developed for use as a simplified model of cortical development. Unlike many other models of topological map formation all synaptic weights start at zero strength (so that synaptogenesis might be modelled). In addition, the algorithm works with the same format of encoding for both inputs to and outputs from the network (so that the transfer and recoding of information between cortical regions might be modelled).

Item Type:Conference Paper
Keywords:neural networks, self-organisation
Subjects:Computer Science > Neural Nets
ID Code:1107
Deposited By:Spratling, Dr Michael
Deposited On:15 Nov 2000
Last Modified:11 Mar 2011 08:54

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