In that case, your original claim was false -- either one neuron is acting alone as you claimed, or it isn't. Your claim was that one neuron was acting alone, which is absurd.
A neuron is interconnected to many others, but this doesn't mean one neuron is many neurons, any more than one binary bit is 64 binary bits by virtue of its position in a binary word.
EDIT: As dragonwriter says below, lower levels of neural networks are responsible for general facial recognition but that triggers more specific neurons once the recognition is done from generic face -> specific person. Even in artificial neural networks single bit is sufficient at the end of the classification.