Rhythmic centrifugal waves of auxin traveling through the tissue provides high definition positional information to cells that is not only spatial but also temporal.

TMEM16F shifts its ion selectivity in response to change of intracellular Ca²⁺, membrane potential and ionic strength.

For analyzing time-dependent patch-clamp or patch-clamp fluorometry data of ion channels in terms of Markovian models, the superiority of Bayesian filtering with respect to traditional deterministic approaches is demonstrated enabling more reliable quantification of the parameters.

Being fast, memory efficient, easy to use, and with powerful integrated tools, TRex will lower barriers of entry into, and enable more ambitious approaches to, the quantitative study of behavior.

Realistic reaction-diffusion signaling networks that include cell-autonomous factors can robustly form self-organizing spatial patterns for any combination of diffusion coefficients without requiring differential diffusivity.

The human body shapes how we perceive and interact with the environment, with body size serving as a boundary for defining potential actions, hereby enlightening research on foundation agents.

New stimulus-dependencies of choice-related signals in sensory neurons uncovered by new analytical results and methods.

The proposed techniques enable researchers to disentangle the statistical features of neural population responses, and rigorously quantify how these features carry information about stimuli and experimental variables.

A multi-compartment spiking neural network model demonstrates that biologically feasible deep learning can be achieved if sensory inputs and higher-order feedback are received by different dendritic compartments.