Input for individual perceptron in input layer in MLP
With MLPs you can follow a set of simple rules:


The number of neurons in your input layer equals the number of features / data instances you have.
A single neuron takes only one input (one feature)
The output from one neuron can go to multiple neurons in the next layer which may or may not be fully connected.


May the force be with you ;)