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For a 1 - dimensional lateral feedback network consistingof N = 1 1 neurons, assuming that the feedback factor alpha = 7 the binary ramp

For a 1-dimensional lateral feedback network consistingof N =11 neurons, assuming that the feedback factor alpha =7 the binary ramp function saturation threshold S =50: the parametric values of the Mexican hat function has a center excitatory region of width 2a +1=5 and height b =0.06 and an inhibitory region of width M- a =3 and height c =-0.04 on two sides.
At iteration k -1: Given y *1=0 ; y 2=0.1930: y *3=0.3455 y *4=0.6545 y *5=0.9045. y *6=1.3126 y *7=0.9045 y *8=0.6545, y *9=0.3455. y *10=0.193. y *11=0. Show the step-by-step calculation in the Electronic Answer Book (to be added as an attachment below) to obtain the values of the outputs y1 to y11 at iteration k to determine the maximum output at iteration k and type the maximum value rounded to 4 decimal places (as Your Answer below for grade).

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