DocumentCode :
3470838
Title :
Fuzzy self-organizing map in cerebral cortical structure for pattern recognition
Author :
Homma, N. ; Gupta, M.M.
Author_Institution :
Sch. of Health Sci., Tohoku Univ., Sendai, Japan
Volume :
2
fYear :
2004
fDate :
27-30 June 2004
Firstpage :
539
Abstract :
This paper demonstrates that a novel neural structure can be useful for formation of long-term memory. An essential core of the proposed model is a control signal for learning or memory formation, inspired by a possible biological learning mechanism observed in cerebral cortices and hippocampus. From a biological point of view, the control signal can be generated by feedback connections between different cortical regions that correspond to specific functions in memory formation. The model involves the feedback from cognitive results based on the current long-term memories, representing the current knowledge, to a control signal that decides whether the present input should be memorized or not. Simulation results show that the model can possess some biologically observed features of human memory system.
Keywords :
cognition; fuzzy neural nets; neurophysiology; pattern recognition; self-organising feature maps; biological learning mechanism; cerebral cortical structure; fuzzy self-organizing map; hippocampus; human memory system; memory formation; pattern recognition; Artificial neural networks; Biological control systems; Biological information theory; Biological neural networks; Biological system modeling; Hebbian theory; Hippocampus; Learning systems; Neurofeedback; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
Type :
conf
DOI :
10.1109/NAFIPS.2004.1337358
Filename :
1337358
Link To Document :
بازگشت