Long-term Memory Structure by Hierarchized SOM

The most evolved living organisms are characterized by having a sophisticated central nervous system with memorizing capabilities. In its structure are the neuronal cells. Cognitive memory allows the recording, storage, renewal and reading of information. In this work, memory is characterized by its functional and structural aspects and the main mechanisms for the learning and storage processes are also presented. A hierarchical model based on artificial neural networks is proposed as a conceptual model of information transfer between short and longterm memory. Inspired in recent studies, this model is based on an hierarchized structure, composed by layers of neurons with an appropriated topology and learning mechanism suitable for the retention of information in an organized way. A set of simulations is performed to test and evaluate the performance of this neuronal structure, particularly on how the information is distributed.