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IPM
30
YEARS OLD

“School of Cognitive Sciences”

Paper   IPM / Cognitive Sciences / 14466
   School of Cognitive Sciences
  Title: A dynamic bio-inspired model of categorization. In International Conference on Neural Information Processing
  Author(s):
1 . H. Jamalabadi
2 . H. Nasrollahi
3 . M.N. Ahmadabadi
4 . B.N. Araabi
5 . A. Vahabie
6 . M.R.A. Dehaqani
  Status: In Proceedings
  Proceeding: In International Conference on Neural Information Processing (pp. 160-167). Springer Berlin Heidelberg. (2012, November)
  Year: 2012
  Pages: 160-167
  Supported by: IPM
  Abstract:
Motivated by the outstanding performance of primates in pattern recognition tasks, the main purpose of this research is to exploit the behavioral and neuro-biological findings from primates visual perception mechanism for categorization applications. Dynamic Bio-Inspired Categorization system (DyBIC) is implemented utilizing nonlinear first order differential equations and its training phase can be accomplished online. The order of the set of differential equations is exclusively a function of the number of categories to be discriminated and the length of the feature vectors doesn't affect system complexity. Besides, the proposed method carries out recognition in a multi-scale mode which is compatible with some of the well-known cognitive and neural phenomena like categorical perception and hierarchical discrimination. The performance of DyBIC is tested on a handmade typical classification example.

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