A new study by MIT neuroscientists has revealed that years of experience in the natural world is what makes the brain learn how to recognizes objects.
For instance, we can recognise a dog, no matter if it is sitting nearby or far away or standing in sunshine or shadow.
One possible way to acquire this ability to recognize an object, despite these variations, is through a simple form of learning.
Any difference between the two patterns probably means the object has changed its position rather than having been replaced by another object.
So by simply learning to associate images that appear in rapid succession, the brain might learn to recognize objects even if viewed from different angles, distances, or lighting conditions.
To test this idea, called "temporal contiguity," graduate student Nuo Li and associate professor James DiCarlo at MIT's McGovern Institute for Brain Research "tricked" monkeys by exposing them to an altered visual world in which the normal rules of temporal contiguity did not apply.
They recorded electrical activity from individual neurons in a region of the monkey brain called the inferior temporal cortex (IT), where object recognition is thought to happen.
IT neurons respond selectively to particular objects; a neuron might, for example, fire more strongly in response to images of a Dalmatian than to pictures a rhinoceros, regardless of its size or position on the retina.
"We know that IT neurons are involved in object recognition, so our prediction was that these neurons would become confused. By exposing them to this artificial visual experience, we undermined the regularities that we hypothesized teach neurons to recognize the object at multiple sizes," explained Li.
After a few hours, each IT neuron did indeed become confused.
In some cases, the object preferences even started to reverse, and the neuron would begin to prefer large rhinos over large dogs.
In other words, the altered visual experience was not merely degrading existing patterns of selectivity but also creating new ones.
The new results offered the strongest support yet for the "temporal contiguity" hypothesis of object representation.
The study appears in the latest issue of Neuron.