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Children with autism often 'tune out' the voices in their environment and new results show that impaired processing of voices in the brain's reward system may underlie this social behavior.

Individual and situational differences in altruistic behavior do not reflect use of fundamentally different decision mechanisms, but instead differences in early perceptual or attentional processing of the choice-relevant information.

Signals recorded directly from human anterior temporal cortex reveal that the brain represents animacy information using a distributed code that changes radically as a stimulus is processed, as predicted by an artificial neural network model.

When visual stimuli are repeated, gamma oscillations in human early visual cortex and feedforward gamma synchronization across the visual system show stimulus-specific and persistent increases.

Neural activity in the visual system is increased in different layers of the neocortex for bottom-up and top-down modulations.

Decoding of neural outcome and response representations allows dissecting goal-directed and habitual contributions to behaviour and reveals how acute stress biases the instrumental control of behaviour.

A 'stimulus-computable' modeling approach resolves apparent inconsistencies between human and monkey lesion data, implicating perirhinal cortex in visual object perception.

Systematic stimulation across the entire visual field reveals that zebrafish optokinetic behavior is most strongly driven by lateral stimulus locations, as a result of both retinal and extra-retinal effects.

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.

Reducing visibility with higher image presentation rates increases recurrent processing demands along the visual processing pathway to resolve object recognition.