Rules of synaptic organization

Summary form only given. One approach to designing neural networks involves the transformation of neurobiological data into workable network models that may then form the basis for attempts to produce logical computers and intelligent robots. Recent advances in neurobiology have made it possible to gather precise data on the functional organization of the logic circuits in the mammalian cerebral cortex. The results of these investigations, which focus on the quantitative aspects of synapses between identified pre- and postsynaptic elements in mouse Sml cortex, have provided the basis for the formulation of a set of rules governing synaptic relationships in the cerebral cortex.<>