1 citations · 1 across the 4 of their papers we have counts for
5 papers
DMFT analysis of Hopfield network with plasticity
Yoshinori Hara, Yoshiyuki Kabashima
We study a fully connected Hopfield-type associative memory network with online activity-dependent synaptic plasticity, where neural states and synaptic couplings coevolve during r…
Dynamical Regimes of Discrete Diffusion Models
Tomoei Takahashi, Takashi Takahashi, Yoshiyuki Kabashima
Diffusion models generate high-dimensional data such as images by learning a process that gradually removes noise from corrupted data. Recent studies have shown that the backward d…
Testing the Role of Diagonal Interactions in High-Order Hopfield Models via Dynamical Mean-Field Theory
Yuto Sumikawa, Yoshiyuki Kabashima
High-order extensions of the Hopfield model are known to exhibit dramatically enhanced storage capacity at equilibrium, while their dynamical retrieval properties remain less well…
Dynamical mean field approach to associative memory model with non-monotonic transfer functions
Yoshiyuki Kabashima, Kazushi Mimura
The Hopfield associative memory model stores random patterns in synaptic couplings according to Hebb's rule and retrieves them through gradient descent on an energy function. This…
Dynamical Properties of Dense Associative Memory
Kazushi Mimura, Jun'ichi Takeuchi, Yuto Sumikawa +2
Dense associative memory, a fundamental instance of modern Hopfield networks, can store a large number of memory patterns as equilibrium states of recurrent networks. While the sta…