Neurophysiological and behavioral approaches reveal how coordinated input from descending pathways shapes the tuning properties of electrosensory neurons in order to optimize coding of natural stimuli through temporal whitening.

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.

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

Neural oscillations are a necessary consequence of efficient coding of sensory signals by a spiking neural network, limited by synaptic delays and noise.

An optimization principle allows natural-image data to predict human sensitivity to synthetic, un-natural textures with multiple gray levels.

Computer simulations of interaural time difference decoders show that heterogeneous tuning of binaural neurons leads to accurate sound localization in natural environments.

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.

Introducing a hominoid-specific gene into mice induces cortical folding.

Neuronal ELAV-like (nELAVL) proteins are associated with non-coding Y RNAs in stressed neurons and in the brains of Alzheimer's disease patients, suggesting a new means of regulatory protein sequestration and mRNA target regulation.

The novel neural marker for the integration of top-down predictions and bottom-up signals in perception elucidates uncertainty in perceptual inference and provides evidence for the predictive coding account of perception.