A dynamic attractor network model of memory formation, reinforcement and forgetting
Marta Boscaglia, Chiara Gastaldi, Wulfram Gerstner, Rodrigo Quian Quiroga
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.