Morphogenesis as Bayesian inference: A variational approach to pattern formation and control in complex biological systems

F Kuchling, K Friston, G Georgiev, M Levin - Physics of life reviews, 2020 - Elsevier
Recent advances in molecular biology such as gene editing [1], bioelectric recording and
manipulation [2] and live cell microscopy using fluorescent reporters [3],[4]–especially with …

The assembly and dynamics of ecological communities in an ever‐changing world

O Godoy, F Soler‐Toscano, JR Portillo… - Ecological …, 2024 - Wiley Online Library
Alternative perspectives on the maintenance of biodiversity and the assembly of ecological
communities suggest that both processes cannot be investigated simultaneously. In this …

A technical critique of some parts of the free energy principle

M Biehl, FA Pollock, R Kanai - Entropy, 2021 - mdpi.com
We summarize the original formulation of the free energy principle and highlight some
technical issues. We discuss how these issues affect related results involving generalised …

Active inference, morphogenesis, and computational psychiatry

L Pio-Lopez, F Kuchling, A Tung, G Pezzulo… - Frontiers in …, 2022 - frontiersin.org
Active inference is a leading theory in neuroscience that provides a simple and neuro-
biologically plausible account of how action and perception are coupled in producing …

Cancer as robust intrinsic state shaped by evolution: a key issues review

R Yuan, X Zhu, G Wang, S Li, P Ao - Reports on Progress in …, 2017 - iopscience.iop.org
Cancer is a complex disease: its pathology cannot be properly understood in terms of
independent players—genes, proteins, molecular pathways, or their simple combinations …

Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers

A Alfarano, F Charton, A Hayat - The Thirty-eighth Annual …, 2024 - openreview.net
Despite their spectacular progress, language models still struggle on complex reasoning
tasks, such as advanced mathematics. We consider a long-standing open problem in …

[HTML][HTML] Capturing the non-stationarity of whole-brain dynamics underlying human brain states

JA Galadí, SS Pereira, YS Perl, ML Kringelbach… - Neuroimage, 2021 - Elsevier
Brain dynamics depicts an extremely complex energy landscape that changes over time,
and its characterisation is a central unsolved problem in neuroscience. We approximate the …

Irreversibility evaluation for transport processes revisited

T Zhao, YC Hua, ZY Guo - International Journal of Heat and Mass Transfer, 2022 - Elsevier
The entropy generation has been widely used for evaluating irreversibility of transport
processes and optimize their performance. However, there still exist challenges against this …

Topology, vorticity, and limit cycle in a stabilized Kuramoto–Sivashinsky equation

YC Chen, C Shi, JM Kosterlitz… - Proceedings of the …, 2022 - National Acad Sciences
A noisy stabilized Kuramoto–Sivashinsky equation is analyzed by stochastic decomposition.
For values of the control parameter for which periodic stationary patterns exist, the dynamics …

Bayesian machine learning framework for characterizing structural dependency, dynamics, and volatility of cryptocurrency market using potential field theory

CV Anoop, N Negi, A Aprem - Expert Systems with Applications, 2025 - Elsevier
Identifying the structural dependence between the cryptocurrencies and predicting market
trend are fundamental for effective portfolio management in cryptocurrency trading. In this …