A new measure for cross-frequency coupling assesses phase-amplitude coupling and amplitude-amplitude coupling, and accounts for confounding factors such as low-frequency amplitude fluctuations, using a flexible statistical modeling approach.

Resting-state capillary blood flow and oxygenation are more homogeneous in the deeper cortical layers, underpinning an important mechanism by which the microvascular network adapts to an increased local oxidative metabolism.

A computational model, based on single-cell features like contractility and polarizability, quantitatively describes cellular dynamics from the single cell level up to small cohorts and confluent tissues.

Mapping spike patterns from a small identified circuit reveals the diversity and complexity of circuit dynamics across animals and in response to perturbations.

Confidence-dependent reinforcement learning is active and produces trial-to-trial choice updating even in well-learned perceptual decisions without explicit reward biases, across species and sensory modalities.

The human brain encodes coordinated patterns of joint movements – synergies – to increase the efficiency with which it can control complex hand movements.

The value of any choice is not static but dynamically changes as a function of the context of the alternatives even if they are seemingly irrelevant.

With mathematical modeling being an important source of insight for microbial communities, we may need to move beyond commonly-used pairwise models that do not capture microbial interactions.

Towards a community effort, we here present a flexible yet standardised visual stimulator design based on open hardware and software.

Ants employ a new kind of trail to resolve group-level navigational difficulties in scenarios where the information available to individuals does not suffice.