Related topics: brain · neurons

Machines that learn like people

Object-recognition systems are beginning to get pretty good—and in the case of Facebook's face-recognition algorithms, frighteningly good.

Rice, Baylor team sets new mark for 'deep learning'

Neuroscience and artificial intelligence experts from Rice University and Baylor College of Medicine have taken inspiration from the human brain in creating a new "deep learning" method that enables computers to learn about ...

Brain-computer interface could improve hearing aids

(Phys.org)—Researchers are working on the early stages of a brain-computer interface (BCI) that can tell who you're listening to in a room full of noise and other people talking. In the future, the technology could be incorporated ...

Study finds new links between dogs' smell and vision

Cornell University researchers have provided the first documentation that dogs' sense of smell is integrated with their vision and other unique parts of the brain, shedding new light on how dogs experience and navigate the ...

What neuroscience can learn from computer science

What do computers and brains have in common? Computers are made to solve the same problems that brains solve. Computers, however, rely on a drastically different hardware, which makes them good at different kinds of problem ...

'Rat vision' may give humans best sight of all

Humans have the best of all possible visual worlds because our full stereo vision combines with primitive visual pathways to quickly spot danger, a study led by the University of Sydney has discovered.

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Visual cortex

The term visual cortex refers to the primary visual cortex (also known as striate cortex or V1) and extrastriate visual cortical areas such as V2, V3, V4, and V5. The primary visual cortex is anatomically equivalent to Brodmann area 17, or BA17.

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