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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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