Humans rely on auditory information to estimate the path of moving sound sources. But
unlike in vision, the existence of motion-sensitive mechanisms in audition is still open to …

A central question in neuroscience is how sensory inputs are transformed into percepts. At
this point, it is clear that this process is strongly influenced by prior knowledge of the sensory …

Texture synthesis models are important tools for understanding visual processing. In
particular, statistical approaches based on neurally relevant features have been …

The precise timing of spikes emitted by neurons plays a crucial role in shaping the response
of efferent biological neurons. This temporal dimension of neural activity holds significant …

The 1/f α amplitude spectrum is a statistical property of natural scenes characterising a
specific distribution of spatial and temporal frequencies and their associated luminance …

Will emerging technology increase the possibility of nuclear war? Given the multitude of
ways emerging technology intersects with nuclear weapons, critical thinking about an …

Texture synthesis is a prolific subarea in computer vision where statistical methods are often
successful. The Portilla and Simoncelli (PS) texture algorithm is one of such methods that …

Sensing the movement of fast objects within our visual environments is essential for
controlling actions. It requires online estimation of motion direction and speed. We probed …

Perception is often viewed as a process that transforms physical variables, external to an
observer, into internal psychological variables. Such a process can be modeled by a …

Segmenting visual stimuli into distinct groups of features and visual objects is central to
visual function. Classical psychophysical methods have helped uncover many rules of …