Apparaît également dans la collection : 2022 - T1 - WS2 - Mathematical modeling and statistical analysis in neuroscience

After reviewing the behavioral studies of working memory and of its cellular substrate, we argue that metastable states constitute candidates for the type of transient information storage required by working memory.  We then present a simple neural network model made of stochastic units whose synapses exhibit short-term facilitation. This model is specifically designed to be analytically tractable, simple to simulate numerically and to exhibit metastability.

(Joint work with Errico Presutti and Antonio Galves)