DSpace
 

EPrints@IIT Delhi >
Faculty Research Publicatons  >
Electrical Engineering >

Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/2014

Full metadata record

DC FieldValueLanguage
dc.contributor.authorBhaumik, Basabi-
dc.contributor.authorMarkan, Chota M-
dc.date.accessioned2006-07-14T05:47:58Z-
dc.date.available2006-07-14T05:47:58Z-
dc.date.issued2000-
dc.identifier.citationNeural Networks, IJCNN Proceedings of the IEEE-INNS-ENNS International Joint Conference on, 1, 228 - 233p.en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/2014-
dc.description.abstractWe show that models for orientation map formation, which invoke convolution in the dynamic equation, are in fact invoking non-local reaction diffusion. In the early stages of development it is unlikely that non-local interactions take place. We present a nonlinear reaction diffusion model based on near neighbour interaction for formation of orientation map. Besides capturing all the essential topological qualities of experimental orientation, our model also deals with the interspecies variations in the orientation mapen
dc.format.extent69935 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectvisual cortexen
dc.subjectfeature mapsen
dc.subjectorieatation preferenceen
dc.subjectreaction diffusionen
dc.titleOrientation map: a reaction-diffusion based modelen
dc.typeArticleen
Appears in Collections:Electrical Engineering

Files in This Item:

File Description SizeFormat
bhaumikori2000.pdf68.3 kBAdobe PDFView/Open
View Statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback