Building on previous work (Metzen et al., 2016), a combination of neurophysiological and behavioral approaches reveals that changes in the background strongly impacts invariant coding and perception of behaviourally relevant signals.

Whether central vestibular neurons implement faithful stimulus encoding for the vestibulo-occular reflex or optimized coding via temporal whitening for other vestibular functions is determined by neural variability.

Graph analysis revealed that spontaneous fluctuations of episodic-memory encoding performance associate with time-varying brain connectivity networks.

Heterogeneity in the population of granule cells in the dentate gyrus, which includes immature and mature neurons with distinct intrinsic properties, contributes to the population's enhanced encoding capabilities and ability to discriminate correlated stimuli.

The hippocampus demonstrates flexible coding during memory encoding, prioritizing either distance or time information based on the specific requirements of the experiment.

A match between neuronal variability and tuning enables optimized coding of natural self-motion in early vestibular pathways.

Cloning-free 3Cs technology is developed for the generation of sequence-bias-free covalently closed circular synthesized (3Cs) CRISPR/Cas gRNA libraries that can interrogate the coding and noncoding human genome.

To make reliable but metabolically efficient perceptual inferences in a changing world, neural systems should dynamically adapt based on surprise and uncertainty about the sensory environment.

Mitochondrial energy metabolism is post-transcriptionally regulated through an interplay between long and short non-coding RNAs.

An electrode-wise encoding model based on physiological recordings from the cortical surface revealed a striking hemispheric asymmetry where the encoding of ipsilateral movement was stronger in the left hemisphere compared to the right hemisphere.