Perception is often modelled as a process of active inference, whereby prior expectations
are combined with noisy sensory measurements to estimate the structure of the world. This …

Adaptation is a ubiquitous property of perceptual systems, increasing sensitivity to change
and allowing them to operate over a large dynamic range. The number sense, like most …

Neural oscillations reflect fluctuations in the relative excitation/inhibition of neural systems 1,
2, 3, 4, 5 and are theorized to play a critical role in canonical neural computations 6, 7, 8, 9 …

Neural responses in visual cortex adapt to prolonged and repeated stimuli. While adaptation
occurs across the visual cortex, it is unclear how adaptation patterns and computational …

Attention supports efficient perception by increasing the neural signals of targets while
suppressing those of distractors. Decades of work studying the event-related potentials of …

Abstract Brain Machine Interfaces (BMIs) are systems that can help restore motor function to
individuals with paralysis. These systems utilize machine learning algorithms to detect how …

ABSTRACT A central challenge for the brain is how to combine separate sources of
information from different sensory modalities to optimally represent objects and events in the …

Objective To determine the effect of mobile phone ringtones on visual recognition during
driving, laboratory and real-scene eye movement experiments were conducted with …

We can rapidly learn recurring patterns that occur within our sensory environments. This
knowledge allows us to form expectations about future sensory events. Several influential …

Neural oscillations reflect fluctuations in the relative excitation/inhibition of neural systems
and are theorised to play a critical role in several canonical neural computations and …