Dynamical systems articles from across Nature Portfolio

Sugimoto et al. investigate the potential of continuous glucose monitoring (CGM)-derived indices to assess glucose handling capacity. They show that AC_Var, a CGM-derived index, significantly correlates with the clamp-derived disposition index and outperforms conventional diabetes markers in predicting glucose handling capacity.

Continuous EEG-fMRI before during and after administration of the psychedelic DMT reveals time-resolved alterations in human brain dynamics.

Understanding the human exposome is now possible with clinics, communities and cities acting as real-world testbeds to understand what drives human healthspan, resilience and flourishing.

Although axonal GABA_A receptors are thought to cause presynaptic inhibition, we show that instead they often facilitate sodium channel activation at nodes of myelinated axons. This facilitation determines which branches of sensory axons conduct action potentials to motor neurons, enabling computation at the level of the node to regulate sensory feedback.

The solutions found by neural networks to solve a task are often inscrutable. We have little insight into why a particular structure emerges in a network. By reverse engineering neural networks from dynamical principles, Dubreuil, Valente et al. show how neural population structure enables computational flexibility.

Functional subsystems of the macroscale human brain connectome are mapped onto a recurrent neural network and found to perform optimally in a critical regime at the edge of chaos.