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Found 10 papers, 0 papers with code
Gradient sensing limit of a cell when controlling the elongating direction
Dynamics of cell shape during gradient sensing is biologically ubiquitous and can influence the estimation by altering the way the concentration is measured, and cells may strategically regulate their shape to improve estimation accuracy.
Transitions and Thermodynamics on Species Graphs of Chemical Reaction Networks
Our work provides a novel methodology for studying dynamics on S-graphs, paving the way for a deeper understanding of the intricate interplay between the structure and dynamics of chemical reaction networks.
Cramer-Rao bound and absolute sensitivity in chemical reaction networks
The idea is to track how concentration changes in a particular chemical propagate to changes of all the other chemicals within a steady state.
Information geometric bound on general chemical reaction networks
We investigate the dynamics of chemical reaction networks (CRNs) with the goal of deriving an upper bound on their reaction rates.
Mol-PECO: a deep learning model to predict human olfactory perception from molecular structures
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 discontinuous perceptual space of smells and odorants.
Cellular gradient flow structure connects single-cell-level rules and population-level dynamics
In multicellular systems, the single-cell behaviors should be coordinated consistently with the overall population dynamics and functions.
Optimal sensing and control of run-and-tumble chemotaxis
Run-and-tumble chemotaxis is one of the representative search strategies of an odor source via sensing its spatial gradient.
Acceleration of Evolutionary Processes by Learning and Extended Fisher's Fundamental Theorem
We show that an learning agent can accelerate the evolutionary process by proposing ancestral learning, which uses the information transmitted from the ancestor (ancestral information).
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP
BEM can be more efficient than EM because BEM calculates the forward and backward Bellman equations instead of the forward--backward algorithm up to the infinite horizon.
A connection between bacterial chemotactic network and optimal filtering
The chemotactic network of Escherichia coli has been studied extensively both biophysically and information-theoretically.
