A METHOD FOR DETECTION AND QUANTITATIVE ANALYSIS OF TWO-DIMENSIONAL PATTERNS OF LABELED NEURON DISTRIBUTION IN THE CEREBRAL CORTEX

Abstract

The aim of the present investigation was to elaborate an algorithm for labeled neuron 2-D pattern reconstruction and its analysis. Using the study of cat cortico-cortical connections between the areas 17, 18 and posteromedial lateral suprasylvian area as an example, it was shown that proposed algorithm is adequate for present aims of initial neuron pattern reconstruction and analysis, and that it can be applied as a working algorithm for highly specialized computer program elaboration.

Keywords

visual cortex / corticocortical connections / 2-D patterns of labeling

References

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