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.

Advanced machine learning based brain signal decoding of grip-force as a proxy for movement vigor shows Parkinson's disease related performance reduction, suggestive of a loss of cortical vigor encoding in the absence of dopamine.

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.

Through different coding strategies, irregular and regular otolith afferents preferentially encode translational self-motion and changes in static head orientation relative to gravity.

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

Mixed responses in single cells or distributed across a local population of neurons can explain regression effects during time reproduction.

Motor signs of Parkinson’s disease such as tremor and bradykinesia are independently expressed and exhibit distinct signatures of neural activity that can independently decoded from subthalamic and cortical recordings using interpretable machine learning.

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.

Thousands of small Open Reading Frames are translated, and form two distinct classes based on their translational efficiency and bioinformatic indicators.

A new automated system for recording and analyzing neural activity in behaving animals over months-long time-scales offers new perspectives on how neural circuits underlie processes such as learning, development, and recovery from brain injury.