Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

Recent technological advances in hardware design of the robotic platforms enabled the
implementation of various control modalities for improved interactions with humans and …

Brains contain networks of interconnected neurons and so knowing the network architecture
is essential for understanding brain function. We therefore mapped the synaptic-resolution …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Most theories of motor cortex have assumed that neural activity represents movement
parameters. This view derives from what is known about primary visual cortex, where neural …

Noise—random disturbances of signals—poses a fundamental problem for information
processing and affects all aspects of nervous-system function. However, the nature, amount …

It is generally accepted that augmented feedback, provided by a human expert or a technical
display, effectively enhances motor learning. However, discussion of the way to most …

To use sensory information efficiently to make judgments and guide action in the world, the
brain must represent and use information about uncertainty in its computations for …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …