DocumentCode
2696070
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.
fYear
1990
fDate
17-21 June 1990
Firstpage
423
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137749
Filename
5726708
Link To Document