DMFT analysis of Hopfield networks with coevolving plasticity shows an optimal plasticity strength that enlarges basins of attraction and raises memory load via delayed feedback but causes cue imprinting when too strong.
Path integral methods for the dynamics of stochastic and disordered systems.Journal of Physics A: Mathematical and Theoretical, 50(3):033001, dec 2016
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.dis-nn 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DMFT analysis of Hopfield network with plasticity
DMFT analysis of Hopfield networks with coevolving plasticity shows an optimal plasticity strength that enlarges basins of attraction and raises memory load via delayed feedback but causes cue imprinting when too strong.