Solvable models of working memories

M. Mézard , J.P. Nadal , G. Toulouse

We consider a family of models, which generalizes the Hopfield model of neural networks, and can be solved likewise. This family contains palimpsestic schemes, which give memories that behave in a similar way as a working (short-term) memory. The replica method leads to a simple formalism that allows for a detailed comparison between various schemes, and the study of various effects, such as repetitive learning.

Mots clés: brain models; neural nets

Domaines: Articles anciens

M. Mézard, J.P. Nadal, G. Toulouse. Solvable models of working memories. Journal de Physique, 1986, 47 (9), pp.1457-1462. ⟨10.1051/jphys:019860047090145700⟩. ⟨jpa-00210340⟩