Title :
A neural network model for the formation of topographic maps in the CNS: development of receptive fields
Author :
Obermayer, K. ; Ritter, H. ; Schulten, K.
Abstract :
A discussion is presented of the properties of the model in the high-dimensional limit. The authors present results from a Monte Carlo simulation indicating a facilitation of the map-ordering process if the dimensionality of the input space is increased, and they provide a mathematical analysis of the development of localized receptive fields via the input-selection mechanism. The analytical results are compared with data from large-scale simulations using a Connection Machine CM-2, and very good agreement is found
Keywords :
Monte Carlo methods; cartography; neural nets; parallel machines; CM-2; CNS; Connection Machine; Monte Carlo simulation; input space; input-selection mechanism; large-scale simulations; map-ordering process; neural network model; receptive fields; topographic maps;
Conference_Titel :
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/IJCNN.1990.137749
