An artificial neuron receives n inputs $x_1, x_2, \dots , x_n$ with weights $w_1, w_2, \dots , w_n$ attached to the input links. The weighted sum ____ is computed to be passed on to a non-linear filter $\phi$ called activation function to release the output.
- $\Sigma \: w_i$
- $\Sigma \: x_i$
- $\Sigma \: w_i + \Sigma \: x_i$
- $\Sigma \: w_i \cdot \Sigma \: x_i$