Chiara Gastaldi

A dynamic attractor network model of memory formation, reinforcement and forgetting

This paper develops a dynamic attractor network model to explain how memory representations change with stimulus frequency, showing that frequent stimulation increases assembly size and reduces interference, while unstimulated connections become labile, enabling forgetting.

When shared concept cells support associations: theory of overlapping memory engrams

The paper tests a hypothesis that shared neurons between concept cell assemblies encode associations, using a computational model of attractor networks and experimental data.