Occurrence of false memories: A neural module considering context for memorization of words lists

We propose a modular neural network model to simulate the occurrence of false memories. The model was built considering some brain structures and functions involved with the phenomenon as well as concepts from the fuzzy-trace theory, such as the differentiation of the gist and verbatim information and the context formation during the memorization process, including it during the storage and recognition processes. A recurrent version of the ART2 is the core of this model. We carried out simulations which suggest that the model can replicate some characteristics of false memory phenomenon observed in experiments with humans.