Neuron by a PDP may be per e give information to other cells, but one neuron itself is not m about Jette perform functions specific to the CNS. For these purposes, it is necessary and possible to combine various neurons into single ensembles. Certain types of neural organization are characteristic of various brain structures. Neurons that perform the same function form the so-called groups, populations, ensembles, columns, and nuclei. In the cerebral cortex, mo s Zhechkov neurons form cell layers. Each layer has its own special and graphically function.
Accumulations of neurons and neuroglia form the gray matter of the brain. With e swarm CNS agent uniform. There are plots of concentration of neurons, where they are arranged very densely body relative to each other at ha, and the region where the low concentration of neurons. Field height of Coy concentration of neurons are called nuclei of gray matter . Specific functions of neurons respectively form independent t stvuyuschie nuclei located in the white matter in various dep e crystals brainstem. The concept of the nucleus in relation to the cerebral cortex is more likely to have a functional sense than a morphological one.
The nerve center – a complex of neurons that are concentrated in a central nervous system structure (eg, the respiratory center of the medulla oblongata) to about torye perform similar functions. The concept of “nerve center” is based mainly on anatomical principles.
Neural circuits are appropriately (sequentially) interconnected neurons that perform a specific task. The reflex arc is a particular case of neuro organization of new type of neural circuits.
Neural networks – an association of neurons, which contains plural of the set of parallel and interconnected SEQ well -negative neurons chains. Such associations perform complex tasks. For example, sensor networks perform the task of processing sensory and n formations. Neurons united in neural networks can acquire new properties that are absent separately. Therefore, the elementary neural network is considered an important unit of functional activity of the CNS. The principle of cooperative behavior of neurons in the network assumes that a set of interrelated elements has a large in s possibility of functional rearrangements.
The more complex neuronal association characteristic of the cerebral cortex is neural columns and modules . Each column represents a vertical cylinder with a diameter of about 100 – 150 microns, including th conductive neurons of cortical layers. This neural association is a local nervous network, which, processing information, transmits it from the input to the output. Structural basis of vertical cortical column is so camping vert and locally oriented bundles of apical dendrites taking Mr. and roan from large and medium-sized pyramidal neurons. The distance between individual beams corresponds to the distance between the dendrites GRU n PAMI cells forming a column. Functionally, the column represents I is from about bout association vertically coupled pyramidal and stellate cells of different layers, which are also branched axons in the vertical n and board. Zvez d give nearly linear cells are excitatory and inhibitory interneurons such association having its afferent Rin of rows, intracortical interneuronal communication and outputs on the efferent and to Sönam pyramidal cells. Makrokolonka or functional cork about vy module is about b union of several vertical columns, its d Diameter several times the diameter of the vertical column and is 300 – 600 microns. Unlike vertical columns modules have several inputs and outputs, and provide more complex lane e rabotku inform a tion, and are also involved in mechanisms of formation of higher mental functions.