Neuroscience

For better deep neural network vision, just add feedback (loops)

Your ability to recognize objects is remarkable. If you see a cup under unusual lighting or from unexpected directions, there's a good chance that your brain will still compute that it is a cup. Such precise object recognition ...

Psychology & Psychiatry

Researchers get humans to think like computers

Computers, like those that power self-driving cars, can be tricked into mistaking random scribbles for trains, fences and even school busses. People aren't supposed to be able to see how those images trip up computers but ...

Neuroscience

The control of dendritic branching by mitochondria

(Medical Xpress)—A fundamental difference between neurons in real brains and those in artificial neural networks is the way the neurons in each are connected. In artificial nets, the synapses between neurons often have ...

Neuroscience

Artificial brains learn to adapt

For every thought or behavior, the brain erupts in a riot of activity, as thousands of cells communicate via electrical and chemical signals. Each nerve cell influences others within an intricate, interconnected neural network. ...

Radiology & Imaging

Self-learning algorithms analyze medical imaging data

Imaging techniques enable a detailed look inside an organism. But interpreting the data is time-consuming and requires a great deal of experience. Artificial neural networks open up new possibilities: They require just seconds ...

Neuroscience

Model describes complete grasping movement planning in the brain

Neuroscientists at the German Primate Center (DPZ)-Leibniz Institute for Primate Research in Göttingen have developed a model that can seamlessly represent the entire planning of movement from seeing an object to grasping ...

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