A method for the detection and quantitative analysis of two-dimensional distribution patterns of labeled neurons in the cerebral cortex

摘要

The aim of the present work was to develop an algorithm for analyzing two-dimensional patterns of labeled neurons and their structure. Studies of corticocortical connections between fields 17 and 18 and the posteromedial area of the suprasylvian sulcus in cats as an example showed that the algorithm was suitable for the reconstruction and analysis of patterns of initial neurons and can be used as an algorithm for developing highly specialized computer programs.