Describe the workings of face perception. Are faces a special kind of percept?

Describe the workings of face perception. Are faces a special kind of percept?

One possible way that faces could be represented is by specificity coding—the representation of a specific stimulus, like a specific person’s face, by the firing of very specifically tuned neurons that are specialized to respond just to a specific face.Thus, specificity coding proposes that there are neurons that are tuned to respond just to one specific stimulus. This idea was proposed by Konorski and Lettvin, who came up with the term "grandmother cells" to describe this specific type of cells. A grandmother cell is a neuron that responds only to a specific stimulus(a picture<ex.grandma> or a general concept<idea of gradma>)
Problmes with this idea:
There are just too many different faces and other objects in the environment to assign specific neurons to each one; and although there are neurons that respond only to specific types of stimuli, like faces, even these neurons respond to a number of different faces. Thus, a neuron that responds to Bill’s face would also respond to Roger’s and Samantha’s faces as well. Because of these problems, the idea of a highly specific grandmother-type neuron has not been accepted by researchers.
Solution to the problem of sensory encoding is called distributed coding:
a particular object is represented not by the firing of a single neuron, but by the firing of groups of neurons.One of the advantages of distributed coding is that the firing of just a few neurons can signal a large number of stimuli.
What all of this means is that our ability to identify and recognize the huge number of different objects in our environment is the end result of distributed cooperation between many neurons.

In addition, the Fusiform Face Area (FFA) has become highly associated with the perception of faces. It is a brain area of "expertise". It is not limited to perceiving faces, but anything that we come to practice a great deal (bird-watching, trees, etc.). However, most of us are actually experts when it comes to perceiving faces.
Also, we tend to process faces heuristically. What this means is that we "scan" faces that we encounter instead of perceiving every feature (nose, cheeks, eyes, etc.) independently.

Exactly, I wanted to add the fact that Tim mentioned but also something more that I remember.
Gauthier presented that neurons in the Fusiform Face area, they do respond not only to faces but also to cars (cars experts) and, as it was said to birds etc.
This is all caused by the continued exposure to things that occur on regular basic in the environment, they can cause neurons to became adapted to respond in best way to those regularities.