Search Results for author:
Found 14 papers, 1 papers with code
Solvable Neural Network Model for Input-Output Associations: Optimal Recall at the Onset of Chaos
In neural information processing, an input modulates neural dynamics to generate a desired output.
Dynamical Theory for Adaptive Systems
The investigation 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 parameters controlling the former's dynamics is crucial for understanding feedback mechanisms underlying evolutionary and developmental processes.
Evolutionary Shaping of Low-Dimensional Path Facilitates Robust and Plastic Switching Between Phenotypes
The fitness for selection is given so that it takes a higher value as more of the active sites take two requested spin configurations depending on the regulation.
Universal Transitions between Growth and Dormancy via Intermediate Complex Formation
A simple cell model consisting of a catalytic reaction network with intermediate complex formation is numerically studied.
Double-replica theory for evolution of genotype-phenotype interrelationship
We describe the interplay between the genetic variations and phenotypic variances by noise in this model by our new approach that extends the replica theory for spin-glasses to include spin-replica for phenotypes and coupling-replica for genotypes.
Bayesian inference is facilitated by modular neural networks with different time scales
In performing Bayesian inference, the prior distribution must be shaped by sampling noisy external inputs.
Generic Adaptation by Fast Chaotic Exploration and Slow Feedback Fixation
Living systems adapt to various environmental conditions by changing their internal states.
Prediction of Cross-Fitness for Adaptive Evolution to Different Environmental Conditions: Consequence of Phenotypic Dimensional Reduction
How adaptive evolution to one environmental stress improves or suppresses adaptation to another is an important problem in evolutionary biology.
Direction and Constraint in Phenotypic Evolution: Dimension Reduction and Global Proportionality in Phenotype Fluctuation and Responses
A macroscopic theory for describing cellular states during steady-growth is presented, which is based on the consistency between cellular growth and molecular replication, as well as the robustness of phenotypes against perturbations.
Entangled gene regulatory networks with cooperative expression endow robust adaptive responses to unforeseen environmental changes
By taking advantage of the averaging over such detours, the network shows a higher robustness to environmental and intracellular noise as well as to mutations in the network, when compared to simple unidirectional circuits.
Short term memory by transient oscillatory dynamics in recurrent neural networks
By training recurrent neural networks to short-term memory tasks and analyzing the dynamics, the characteristics of the short-term memory mechanism were obtained in which the input information was encoded in the amplitude of transient oscillations, rather than the stationary neural activities.
A scaling law of multilevel evolution: how the balance between within- and among-collective evolution is determined
This relation indicates that although $N$ and $m$ have quantitatively distinct impacts on the balance between within- and among-collective evolution, their impacts become identical if $m$ is scaled with a proper exponent.
Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network
Memories in neural system are shaped through the interplay of neural and learning dynamics under external inputs.
Molecular Diversity and Network Complexity in Growing Protocells
As the resources are limited, it is shown that diversity in intracellular components is increased to allow the use of diverse resources for cellular growth.
