activity
19992010
most citedThe path-integral analysis of an associative memory model storing an infinite number of finite limit cycles

17 citations · 109 across the 25 of their papers we have counts for

collaborators
Showing cond-mat.dis-nnShow all

21 papers · 1 filter

cond-mat.dis-nn2010

Statistical mechanics of digital halftoning

Jun-ichi Inoue, Yohei Saika, Masato Okada

We consider the problem of digital halftoning from the view point of statistical mechanics. The digital halftoning is a sort of image processing, namely, representing each grayscal…

cond-mat.dis-nn20074 cited

Retrieval of branching sequences in associative memory model with common external input and bias input

Kentaro Katahira, Masaki Kawamura, Kazuo Okanoya +1

We investigate a recurrent neural network model with common external and bias inputs that can retrieve branching sequences. Retrieval of memory sequences is one of the most importa…

cond-mat.dis-nn20066 cited

Stochastic transitions of attractors in associative memory models with correlated noise

Masaki Kawamura, Masato Okada

We investigate dynamics of recurrent neural networks with correlated noise to analyze the noise's effect. The mechanism of correlated firing has been analyzed in various models, bu…

cond-mat.dis-nn2005

Theory of Recurrent Neural Network with Common Synaptic Inputs

Masaki Kawamura, Michiko Yamana, Masato Okada

We discuss the effects of common synaptic inputs in a recurrent neural network. Because of the effects of these common synaptic inputs, the correlation between neural inputs cannot…

cond-mat.dis-nn2005

Short-term Synaptic Depression Improves Error-correcting Ability in Cortical Circuits

Narihisa Matsumoto, Daisuke Ide, Masataka Watanabe +1

Synaptic connections are known to change dynamically. High-frequency presynaptic inputs induce decrease of synaptic weights. This process is known as short-term synaptic depression…

cond-mat.dis-nn2005

Residual Energies after Slow Quantum Annealing

Sei Suzuki, Masato Okada

Features of the residual energy after the quantum annealing are investigated. The quantum annealing method exploits quantum fluctuations to search the ground state of classical dis…