- Helfer, P. & Shultz, T. R. (3 March 2017). A computational model of systems memory reconsolidation and extinction. https://arxiv.org/abs/1703.01357. - In the mammalian brain, newly acquired memories are dependent on the hippocampus for maintenance and recall, but over time these functions are taken over by the neocortex through a process called memory consolidation. Whereas recent memories are likely to be disrupted in the event of hippocampal damage, older memories are less vulnerable. However, if a consolidated memory is reactivated by a reminder, it can temporarily return to a hippocampus-dependent state. This is known as memory reconsolidation. We present an artificial neural-network model that captures memory consolidation and reconsolidation, as well as the related phenomena of memory extinction, spontaneous recovery and trace dominance. The model provides a novel explanation of trace dominance, the competition between reconsolidation and extinction, from which we derive two predictions that could be tested in future experiments.
- Helfer, P., Shultz, T. R., Hardt, O., & Nader, K. (2013). A computational model of systems memory reconsolidation. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2512-2517). Austin, TX: Cognitive Science Society. - The first computational model of systems-level memory reconsolidation. pdf