Convergence

The funneling of connections from a lot of cells to few is known as convergence which is as shown in figure. It is the means by which a target cell is capable to integrate the information from numerous sources.

The Convergence should include data compression. The illustrations include:

- The retina, that has 100 million photoreceptors but only one million outcome neurons.

- The spinal cord, where a motor neurons are outnumbered by the primary afferents about 10-fold.

The Low convergence is seen where high spatial resolution (that is the ability to sense stimuli which are close altogether as independent) is significant, like between cones and bipolar cells in the retina. In contrary, the high convergence is needed where it is essential to integrate weak signals from a number of receptors to attain the high sensitivity. This is the situation among rods and bipolar cells in the retina, where it allows vision in dim light.