Non Linear Hebbian Learning techniques and Fuzzy Cognitive Maps in modeling the Parkinson's disease

2013 ◽  
Author(s):  
Anninou P. Antigoni ◽  
Groumpos P. Peter
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Hebbian Learning ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Learning Techniques ◽  
Non Linear

Modeling of Parkinson's Disease Using Fuzzy Cognitive Maps and Non-Linear Hebbian Learning

2014 ◽  
Vol 23 (05) ◽  
pp. 1450010 ◽  
Author(s):  
Antigoni P. Anninou ◽  
Peter P. Groumpos
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Hebbian Learning ◽  
Neurodegenerative Disorder ◽  
Large Population ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Medical Problems ◽  
Age Related ◽  
Non Linear

Parkinson's disease is a chronic, progressive, age-related, neurodegenerative disorder that affects a large population around the world. A mathematical model for Parkinson's disease is presented using Fuzzy Cognitive Maps (FCMs). Basic theories of FCMs are reviewed and presented. Decision Support Systems (DSS) for medical problems are reviewed. Non-linear Hebbian learning techniques are considered in studying Medical problems and a generic algorithm is presented. The proposed method used the knowledge of a number of experts and simulations were performed obtaining interesting results. Comparisons of the results of the proposed method, both by making use and not making use of learning algorithms, are presented. Some interesting future research directions are mentioned.

scholarly journals Active Hebbian learning algorithm to train fuzzy cognitive maps

2004 ◽  
Vol 37 (3) ◽  
pp. 219-249 ◽  
Author(s):  
E.I. Papageorgiou ◽  
C.D. Stylios ◽  
P.P. Groumpos
Keyword(s):  
Hebbian Learning ◽  
Learning Algorithm ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps
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