Soft-competitive versus EM learning in cortical map modeling

摘要

Starting from the problem of density estimation, it is shown that EM learning can be considered as a Hebbian mechanism. From this it is possible to outline a theory of self-organization of cortical maps which is based on a well defined optimization process and still preserves biologically desirable characteristics: local computation and uniform treatment of input and lateral connections.