How is the visual bark organized?
All the visual information that the human mind receives is processed part of the brain known as visual cortex . The visual cortex is part of the farthest layer of the brain, bark and is located at the back of the occipital lobe; Simply put, to the lower back of the brain. The visual bark gets its information through projections that spread all the way of the brain from the eyeball. The projections for the first time go through the point of stopping in the middle of the brain, the almond piece known as the lateral geni -core or LGN. From there they are projected into the visual cortex for processing. V1, sometimes called Striate Cortex due to its appearance of the lane in coloring and inserting under the microscope, is by far the largest and most important. Sometimes it is called primary visual bark or region 17. Other visual areas are referred to as extraStriate Cortex . V1 is one of the largest and understood areas of the human brain.
V1 is approximately 0.07 inch (2 mm) thick brain layer with probably an index card area. Because it is defined, its volume is only a few cubic centimeters. Neurons in V1 are organized at local and global levels with horizontal and vertical organizational schemes. Relevant variables to be abstracted from raw sensory data include color, shape, size, movement, orientation and others that are softer. The parallelized nature of the calculation in the human brain means that there are certain cells that are activated by the presence of color A, other activated by color B etc.
The most visible organizational protocol in V1 is therefore horizontal layers. There are six main layers marked with Roman numerals as VI. I is the farthest layer, the farthest from the eyes and LGN, then receives the smallest number of direct projections containing visual data. The strongest bundles of nerves from LGN are projected intolayers in A VI, which in themselves contain nerves that are projected back into LGN and create feedback. The feedback between the sender of the visual data (LGN) and its processor (V1) is useful to clarify the nature of ambiguous sensory data.
RAW sensory data come from eyes as a set of nerve missiles called Retinotopic map . The first series of neurons is designed to perform relatively elementary sensory data analysis - a collection of neurons designed to detect vertical lines could be activated if the critical threshold of visual "pixels" proves to be configured in a vertical model. Higher processors make their "decisions" based on preliminary data from other neurons; For example, the austerity of neurons designed to detect the speed of an object may depend on information from neurons designed to detect objects as separate entities from their background.
Another organizational scheme is vertical or columnar nerve architecture. The column has meltedIt grows with all horizontal layers and usually consists of neurons that have functional similarities ("neurons that they shoot together, cooperate") and common features in their distortion. For example, one column can only receive information from the right eyeball, the other from the left. Columns usually have subgroups called macrocoloma and microcolomns . Mikrocolons can be so small that they contain only a hundred individual neurons.
Studying details of the processing of information in the human brain is difficult due to a complex, ad hoc and a seemingly dirty way in which the brains have evolved, as well as a complex nature that is any brain on the basis of its huge task. Selective damage to the visual cortex in animal subjects is historically one of the most productive (and controversial) ways of exploring nervous functioning, but recently scientists have developed tools for selectively deactivating or activating specific areas of the brain withoutThey damaged them. The resolution of brain scanning devices increases exponentially and algorithms increase in sophistication to handle the flood of data characteristics of cognitive sciences. It is not unlikely to propose that one day we will be able to understand the visual bark as a whole.