Understanding why deep neural networks and machine learning algorithms act as they do is
a difficult endeavor. Neuroscientists are faced with similar problems. One way biologists …

Understanding how cognitive processes affect the responses of sensory neurons may clarify
the relationship between neuronal population activity and behavior. However, tools for …

Throughout their daily lives, animals and humans often switch between different behaviours.
However, neuroscience research typically studies the brain while the animal is performing …

Studies in biological vision have always been a great source of inspiration for design of
computer vision algorithms. In the past, several successful methods were designed with …

We use visual information to determine our dynamic relationship with other objects in a three-
dimensional (3D) world. Despite decades of work on visual motion processing, it remains …

Neurons throughout the brain modulate their firing rate lawfully in response to sensory input.
Theories of neural computation posit that these modulations reflect the outcome of a …

According to the efficient coding hypothesis, sensory systems are adapted to maximize their
ability to encode information about the environment. Sensory neurons play a key role in …

Multiple areas of macaque cortex are involved in visual motion processing, but their relative
functional roles remain unclear. The medial superior temporal (MST) area is typically divided …

Terrestrial navigation naturally involves translations within the horizontal plane and eye
rotations about a vertical (yaw) axis to track and fixate targets of interest. Neurons in the …

A fundamental question for any visual system is whether its image representation can be
understood in terms of its components. Decomposing any image into components is …