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NEURONAL DYNAMICS I:ACTIVATIONS AND SIGNALS SIGNAL MONOTONICITY Generalized Gaussian signal function define potential or radial basis function S (x): s=6p22x,-41 input activation vector:x=(xi,…,xn)∈R" variance:o, mean vector:=() we shall consider only scalar-input signal functions:S (x 77 SIGNAL MONOTONICITY Generalized Gaussian signal function define potential or radial basis function : ( ) ] 2 1 ( ) exp[ 2 = − 2  − n j i j j i i S x x   n x = (x1 ,  , xn )R ( , , ) i n i i = 1   input activation vector: variance: mean vector: NEURONAL DYNAMICS Ⅰ: ACTIVATIONS AND SIGNALS 2  i S (x) i we shall consider only scalar-input signal functions: ( ) i i S x
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