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An example for parallel LB-LB monologue is how it helps you recognize a person by his face, which is as follows.

Recognizing a Person: Because of differentiations in its detailed structure, a person can be best recognized by his face. Faces of people you have met earlier are stored in a facial database in LB, where each face contains visual facial information that was accumulated and stored over multiple occasions in the past (more here ). These faces are linked to information related to them in the B-ROM, which, if found necessary by VP, is updated every time new information about them becomes available. Such information includes diverse details and facts about them, e.g., their name, your relation with them, your emotional attachment with them, their physical features, their nature, their business with you, do they owe you money, their birthday, last dinner you had with them, etc., (more here ).

When you recognize a person by looking at his face, you just look at one or two features on his face. You do not have to pay attention to the entire face. LB then uses it's parallel processing capability (i.e. parallel LB-LB monologue) to receive data from the attended feature, i.e. point of focus in your eye (through rods in the retina) and its surrounding area, i.e. its periphery (through cones in the retina) and hunts for the closest match stored in the facial database (using several levels of processing). Information summary from the closest matching face from facial database is then sent by LB to VP, which retrieves information linked to it from the B-ROM, which also includes associated emotions and feelings (more here ), based on which you recognize the person (the VP-LB search process is explained in detail here ).

When the above mechanism does not function, it results into "face-blindness", also known as prosopagnosia, in which the affected person has difficulty recognizing faces. In a rare medical condition called Capgras delusion, the affected person holds a delusion that a close friend or family member has been replaced by an impostor, which happens because there is a failure of retrieving associated emotions due to damaged link to the area where emotion data of that person is stored. As the affected person recognizes the face, but the associated emotion data is not recalled (which normally happens), he thinks that the person is an impostor. Otherwise, by voice or other modalities, he can recognize the person, as they are connected to the same emotion data.

If no match is found in LB’s facial database, you are unable to recognize that person.

When you see a person whom you have met on very few occasions, there may not be enough number of his face angles stored, as facial information, which is accumulated by LB on fewer occasions, is in fragmented form (which LB needs to interpolate to get a clearer picture). This not only takes you more time to recognize (i.e. for LB to interpolate and match) the person, but makes you less confident about his identity.

A subset of this type of monologue is what tells you at a glance, e.g., how many people are there at a party.

Even when they process data from past for current or future use in this manner, parallel LB-LB monologues only supply data and do not participate in VP-LB dialogues, which happens in Sequential LB-LB monologues.

LB Information Accumulation
Contextual Extraction
Joint Effort
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