en Cellular and molecular Neuroscience Cellular and molecular Neuroscience Original Original <p align="left" ><p>　</p><p><font color="#221e1f" size="2"><font color="#221e1f" size="2">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 </font></font><font color="#221e1f" face="Times New Roman,Times New Roman" size="2"><font color="#221e1f" face="Times New Roman,Times New Roman" size="2"><font color="#221e1f" face="Times New Roman,Times New Roman" size="2">of system identification consists of three blocks to completely describe the </font></font></font><font color="#221e1f" size="2"><font color="#221e1f" size="2">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 </font></font><font color="#221e1f" face="Times New Roman,Times New Roman" size="2"><font color="#221e1f" face="Times New Roman,Times New Roman" size="2"><font color="#221e1f" face="Times New Roman,Times New Roman" size="2">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 </font></font></font><font color="#221e1f" size="2"><font color="#221e1f" size="2">comparison with MLP neural network. </font></font></p> Formal Information estimation, Neurons, Hammerstein-Wiener model 45 51 http://bcn.iums.ac.ir/browse.php?a_code=A-10-1-120&slc_lang=en&sid=1 Reza Abbasi-Asl 1370031947532846002054 1370031947532846002054 Yes Rahman Khorsandi 1370031947532846002055 1370031947532846002055 No Bijan Vosooghi-Vahdat 1370031947532846002056 1370031947532846002056 No