10 papers
Spatial-Molecular Information Analysis Based on Histopathological Geometry: KL-Divergence Decomposition of Cell Distribution and Location-Dependent Expression States in PD-1 Immunohistochemistry
Tatsuaki Tsuruyama
Spatial biology enables molecular expression to be analyzed together with the location of cells in tissue. However, it is often difficult to distinguish whether cells preferentiall…
A Comparison of Whole Slide Image Analysis and Diagnostic Field Selection in Pathology AI under Finite Resources
Tatsuaki Tsuruyama
An important question in pathology AI is how to allocate limited analytical resources between broad coverage of a whole slide image (WSI) and detailed analysis of selected regions.…
Mutual-Information-Dependent Nonlinear Threshold Response Model Linked to the Free Energy Principle
Tatsuaki Tsuruyama
Biological systems not only infer states of the external world from sensory input but also vary the expression of their responses according to the information they have acquired. H…
Fluctuation Theorems from a Continuous-Time Markov Model of Information-Thermodynamic Capacity in Biochemical Signal Cascades
Tatsuaki Tsuruyama
Biochemical signaling cascades transmit intracellular information while dissipating energy under nonequilibrium conditions. We model a cascade as a code string and apply informatio…
Thermodynamics Reconstructed from Information Theory:An Axiomatic Framework via Information-Volume Constraints and Path-Space KL Divergence
Tatsuaki Tsuruyama
We develop an axiomatic reconstruction of thermodynamics based entirely on two primitive components: a description of what aspects of a system are observed and a reference measure…
Slowdown and saturation of internal time according to the statistics of information input: a minimal model of response systems
Tatsuaki Tsuruyama
We consider a response system that updates its internal state in accordance with information input arriving from outside. In this paper, we define as internal time the ``number of…
Coarse-Grained Kullback--Leibler Control of Diffusion-Based Generative AI
Tatsuaki Tsuruyama
Diffusion models and score-based generative models provide a powerful framework for synthesizing high-quality images from noise. However, there is still no satisfactory theory that…
Kullback-Leibler Potential for Non-Ergodic Replication Dynamics:An Information-Theoretic Second Law
Tatsuaki Tsuruyama
This study aims to quantify and visualize the degradation of fidelity (information degradation) that inevitably accompanies the replication of information within the framework of i…
Relativistic Limits of Decoding: Critical Divergence of Kullback-Leibler Information and Free Energy
Tatsuaki Tsuruyama
We present a statistical mechanical framework based on the Kullback-Leibler divergence (KLD) to analyze the relativistic limits of decoding time-encoded information from a moving s…
Large Deviation Theory Approach to Fluctuation Theorems and Landauer's Principle through Heat Redefinition
Tatsuaki Tsuruyama
Large deviation theory (LDT) provides a mathematical framework to quantify the probabilities of rare events in stochastic systems. In this study, we applied LDT to model a chemical…