دوره 3، شماره 4 - ( Summer 2012 -- 1391 )                   جلد 3 شماره 4 صفحات 45-51 | برگشت به فهرست نسخه ها

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Abbasi-Asl R, Khorsandi R, Vosooghi-Vahdat B. Hammerstein-Wiener Model: A New Approach to the Estimation of Formal Neural Information . BCN. 2012; 3 (4) :45-51
URL: http://bcn.iums.ac.ir/article-1-254-fa.html
Hammerstein-Wiener Model: A New Approach to the Estimation of Formal Neural Information . مجله علوم اعصاب پایه و بالینی. 1391; 3 (4) :45-51

URL: http://bcn.iums.ac.ir/article-1-254-fa.html


چکیده:  

 

A new approach is introduced to estimate the formal information of neurons. Formal Information, mainly discusses about the aspects of the response that is related to the stimulus. Estimation is based on introducing a mathematical nonlinear model with Hammerstein-Wiener system estimator. This method of system identification consists of three blocks to completely describe the nonlinearity of input and output and linear behaviour of the model. The introduced model is trained by 166 spikes of neurons and other 166 spikes are used to test and validate the model. The simulation results show the R-Value of 92.6 % between estimated and reference information rate. This shows improvement of 1.41 % in comparison with MLP neural network.

نوع مطالعه: Original | موضوع مقاله: Cellular and molecular Neuroscience
دریافت: ۱۳۹۱/۵/۱۲

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