Your task is to implement the basic structure of a neuron by completing the missing parts.

1. Initialize the weights (an array) and bias (a single number) with random values from a uniform distribution in range [-1, 1) using NumPy.
2. Compute the weighted sum of the inputs using the dot product, add the bias, and store the result in input_sum_with_bias.
3. Apply the sigmoid activation function to input_sum_with_bias to obtain the neuron's output.