This paper presents an algorithm to form a topographic map resembling
to the self-organizing map. The idea stems on defining an energy funct
ion which reveals the local correlation between neighboring neurons. T
he larger the value of the energy function, the higher the correlation
of the neighborhood neurons. On this account, the proposed algorithm
is defined as the gradient ascent of this energy function. Simulations
on two-dimensional maps are illustrated.