A rich behavioral literature has shown that human object recognition is supported by a
representation of shape that is tolerant to variations in an object's appearance …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

What do infants know? How does the knowledge that they begin with prepare them for
learning about the particular physical, cultural, and social world in which they live? Answers …

Convolutional neural networks (CNNs) are increasingly used to model human vision due to
their high object categorization capabilities and general correspondence with human brain …

WINNER OF THE 2014 BRAIN PRIZE From the acclaimed author of Reading in the Brain
and How We Learn, a breathtaking look at the new science that can track consciousness …

The division of cortical visual processing into distinct dorsal and ventral streams is a key
framework that has guided visual neuroscience. The characterization of the ventral stream …

Anderson offers systematic and accessible presentation of the theoretical foundations of
higher mental processes, with each important idea made concrete by specific examples and …

Accumulating neuropsychological, electrophysiological and behavioural evidence suggests
that the neural substrates of visual perception may be quite distinct from those underlying …

Despite decades of research, the functional neuroanatomy of speech processing has been
difficult to characterize. A major impediment to progress may have been the failure to …

Unlike any other species, humans can learn and use language. This book explains how the
brain evolved to make language possible, through what Michael Arbib calls the Mirror …