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Representations in the subcortical sensory pathway do not only adapt to stimulus properties but also rely on the observer’s subjective model of the world.

Explicit judgments of agency incorporate uncertainty by reflecting first-order measures of a noisy signal, but they do not correspond to second-order metacognitive measures of the noise in a signal.

A fundamental visual computation, the establishment of ON selectivity, is established across distributed circuits, allowing for more robust and flexible coding than suggested by core circuit motifs.

Bitter-sensing cells across different organs of the fruit fly activate overlapping neural pathways in the brain to regulate a common set of aversive behaviors.

A comprehensive, data-driven and interpretable nonlinear computational modeling framework based on deep neural networks uncovers different nonlinear transformations of speech signal in the human auditory cortex.

Prediction of future input explains diverse neural tuning properties in sensory cortex.

Large-scale electrocorticography and big data analysis of brain-wide neuronal interactions reveal the architecture of network information flow for context processing in primate brain.

A direct relationship between pupil diameter and electrophysiological correlates of attention, sensory stimulus processing and target detection was observed demonstrating that arousal has a substantial influence on perceptual decision-making.

To accurately represent object position in real time, the human visual system predictively encodes the location of moving objects, compensating for the time required for transmission and processing of information.

For the first time, action potentials and subthreshold postsynaptic potentials of almost all individual identifiable neurons within a functional unit of the leech nervous system were simultaneously imaged during sensory processing and behavioral generation.