108 citations · 248 across the 19 of their papers we have counts for
5 papers · 1 filter
Learning in Neural Networks Based on a Generalized Fluctuation Theorem
Takashi Hayakawa, Toshio Aoyagi
Information maximization has been investigated as a possible mechanism of learning governing the self-organization that occurs within the neural systems of animals. Within the gene…
Scale-free networks with self-growing weight
Takuma Tanaka, Toshio Aoyagi
We present a novel type of weighted scale-free network model, in which the weight grows independently of the attachment of new nodes. The evolution of this network is thus determin…
Analysis of Oscillator Neural Networks for Sparsely Coded Phase Patterns
Masaki Nomura, Toshio Aoyagi
We study a simple extended model of oscillator neural networks capable of storing sparsely coded phase patterns, in which information is encoded both in the mean firing rate and in…
An Oscillator Neural Network Retrieving Sparsely Coded Phase Patterns
Toshio Aoyagi, Masaki Nomura
Little is known theoretically about the associative memory capabilities of neural networks in which information is encoded not only in the mean firing rate but also in the timing o…
Retrieval dynamics of neural networks for sparsely coded sequential patterns
Katsunori Kitano, Toshio Aoyagi
It is well known that a sparsely coded network in which the activity level is extremely low has intriguing equilibrium properties. In the present work, we study the dynamical prope…