A celebrated and controversial hypothesis suggests that some biological systems—parts,
aspects, or groups of them—may extract important functional benefits from operating at the …

A key challenge for systems neuroscience is the question of how to understand the complex
network organization of the brain on the basis of neuroimaging data. Similar challenges …

Self-organized criticality is an attractive model for human brain dynamics, but there has been
little direct evidence for its existence in large-scale systems measured by neuroimaging. In …

Biological evolution is a complex blend of ever changing structural stability, variability and
emergence of new phenotypes, niches, ecosystems. We wish to argue that the evolution of …

Any reliable biomarker has to be specific, generalizable, and reproducible across
individuals and contexts. The exact values of such a biomarker must represent similar health …

In this book, we propose original perspectives in theoretical biology. We refer extensively to
physical methods of understanding phenomena but in an untraditional manner. At times, we …

Numerous studies suggest critical dynamics may play a role in information processing and
task performance in biological systems. However, studying critical dynamics in these …

A healthy human heart rate displays complex fluctuations which share characteristics of
physical systems in a critical state. We demonstrate that the human heart rate in healthy …

We analyze the behavior of the US S&P 500 index from 1984 to 1995, and characterize the
non-Gaussian probability density functions (PDF) of the log returns. The temporal …

Background Heart rate variability (HRV) and heart rate (HR) dynamics are used to predict
the survival probability of patients after acute myocardial infarction (AMI), but the association …