Zobrazeno 1 - 10
of 928
pro vyhledávání: '"Kobayashi Tetsuya"'
Autor:
Nakashima, So, Kobayashi, Tetsuya J.
Reinforcement Learning (RL) offers a fundamental framework for discovering optimal action strategies through interactions within unknown environments. Recent advancement have shown that the performance and applicability of RL can significantly be enh
Externí odkaz:
http://arxiv.org/abs/2408.09493
Autor:
Kato, Masaki, Kobayashi, Tetsuya J.
Collective migration is a phenomenon observed in various biological systems, where the cooperation of multiple cells leads to complex functions beyond individual capabilities, such as in immunity and development. A distinctive example is cell populat
Externí odkaz:
http://arxiv.org/abs/2407.15298
Analyzing the motion of multiple biological agents, be it cells or individual animals, is pivotal for the understanding of complex collective behaviors. With the advent of advanced microscopy, detailed images of complex tissue formations involving mu
Externí odkaz:
http://arxiv.org/abs/2405.16503
Autor:
Nakamura, Kento, Kobayashi, Tetsuya J.
Eukaryotic cells perform chemotaxis by determining the direction of chemical gradients based on stochastic sensing of concentrations at the cell surface. To examine the efficiency of this process, previous studies have investigated the limit of estim
Externí odkaz:
http://arxiv.org/abs/2405.04810
Chemical reaction networks (CRNs) exhibit complex dynamics governed by their underlying network structure. In this paper, we propose a novel approach to study the dynamics of CRNs by representing them on species graphs (S-graphs). By scaling concentr
Externí odkaz:
http://arxiv.org/abs/2404.14336
Understanding deaths and life-death boundaries of cells is a fundamental challenge in biological sciences. In this study, we present a theoretical framework for investigating cell death. We conceptualize cell death as a controllability problem within
Externí odkaz:
http://arxiv.org/abs/2403.02169
We delve into growing open chemical reaction systems (CRSs) characterized by autocatalytic reactions within a variable volume, which changes in response to these reactions. Understanding the thermodynamics of such systems is crucial for comprehending
Externí odkaz:
http://arxiv.org/abs/2312.14435
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates. This task is challenging due to the nonlinear nature and discrete structure inherent in CRNs. To address this, we emplo
Externí odkaz:
http://arxiv.org/abs/2309.10334
Recently, Hessian geometry - an extension of information geometry - has emerged as a framework to naturally connect the geometries appearing in the theory of chemical reaction networks (CRN) to their inherent thermodynamical and kinetic properties. T
Externí odkaz:
http://arxiv.org/abs/2308.04806
While visual and auditory information conveyed by wavelength of light and frequency of sound have been decoded, predicting olfactory information encoded by the combination of odorants remains challenging due to the unknown and potentially discontinuo
Externí odkaz:
http://arxiv.org/abs/2305.12424