21 citations · 31 across the 7 of their papers we have counts for
6 papers · 1 filter
Correspondence between Phase Oscillator Network and Classical XY Model with the same random and frustrated interactions
Tomoyuki Kimoto, Tatsuya Uezu
We study correspondence between a phase oscillator network with distributed natural frequencies and a classical XY model at finite temperatures with the same random and frustrated…
Solvable model of a phase oscillator network on a circle with infinite-range Mexican-hat-type interaction
Tatsuya Uezu, Tomoyuki Kimoto, Masato Okada
We describe a solvable model of a phase oscillator network on a circle with infinite-range Mexican-hat-type interaction. We derive self-consistent equations of the order parameters…
Mixed states in a sparsely encoded associative memory model storing ultrametric patterns
Tomoyuki Kimoto, Masato Okada
When mixed states are composed of s memory patterns, s types of mixed states, which can become equilibrium states of the model, can be generated. We previously reported that storag…
Synapse efficiency diverges due to synaptic pruning following over-growth
Kazushi Mimura, Tomoyuki Kimoto, Masato Okada
In the development of the brain, it is known that synapses are pruned following over-growth. This pruning following over-growth seems to be a universal phenomenon that occurs in al…
Mixed states on neural network with structural learning
Tomoyuki Kimoto, Masato Okada
We investigated the properties of mixed states in a sparsely encoded associative memory model with a structural learning method. When mixed states are made of s memory patterns, s…
Mixed state on a sparsely encoded associative memory model
Tomoyuki Kimoto, Masato Okada
In the present paper, we analyze symmetric mixed states corresponding to the so-called concept formation on a sparsely encoded associative memory model with 0-1 neurons. Three type…