253 citations · 3k across the 163 of their papers we have counts for
163 papers
Solvable Neural Network Model for Input-Output Associations: Optimal Recall at the Onset of Chaos
Tomoki Kurikawa, Kunihiko Kaneko
In neural information processing, an input modulates neural dynamics to generate a desired output. To unravel the dynamics and underlying neural connectivity enabling such input-ou…
Dynamical Theory for Adaptive Systems
Tuan Minh Pham, Kunihiko Kaneko
The study of adaptive dynamics, involving many degrees of freedom on two separated timescales, one for fast changes of state variables and another for the slow adaptation of parame…
Evolutionary Shaping of Low-Dimensional Path Facilitates Robust and Plastic Switching Between Phenotypes
Ayaka Sakata, Kunihiko Kaneko
Biological systems must be robust for stable function against perturbations, but robustness alone is not sufficient. The ability to switch between appropriate states (phenotypes) i…
Universal Transitions between Growth and Dormancy via Intermediate Complex Formation
Jumpei F. Yamagishi, Kunihiko Kaneko
A simple cell model consisting of a catalytic reaction network with intermediate complex formation is numerically studied. As nutrients are depleted, the transition from the expone…
Double-replica theory for evolution of genotype-phenotype interrelationship
Tuan Minh Pham, Kunihiko Kaneko
The relationship between genotype and phenotype plays a crucial role in determining the function and robustness of biological systems. Here the evolution progresses through the cha…
Bayesian inference is facilitated by modular neural networks with different time scales
Kohei Ichikawa, Kunihiko Kaneko
Various animals, including humans, have been suggested to perform Bayesian inferences to handle noisy, time-varying external information. In performing Bayesian inference, the prio…