22 citations · 44 across the 5 of their papers we have counts for
5 papers
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…
Correlation of Firing in Layered Associative Neural Networks
Michiko Yamana, Masato Okada
There is growing interest in a phenomenon called the ``synfire chain'', in which firings of neurons propagate from pool to pool in the chain. The mechanism of the synfire chain has…
Oscillator neural network model with distributed native frequencies
Michiko Yamana, Masatoshi Shiino, Masahiko Yoshioka
We study associative memory of an oscillator neural network with distributed native frequencies. The model is based on the use of the Hebb learning rule with random patterns ($ξ_i^…
High-Temperature Dynamics of Spin Glasses
Michiko Yamana, Hidetoshi Nishimori, Tadashi Kadowaki +1
We develop a systematic expansion method of physical quantities for the SK model and the finite-dimensional model of spin glasses in non-equilibrium states. The dynamical p…
Dynamical Probability Distribution Function of the SK Model at High Temperatures
Hidetoshi Nishimori, Michiko Yamana
The microscopic probability distribution function of the Sherrington-Kirkpatrick (SK) model of spin glasses is calculated explicitly as a function of time by a high-temperature exp…