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The human brain is trained to anticipate future developments.
Over time, the brain is trained to prolong a healthy brainwave pattern permanently.
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And it turns out that the colors that our language routinely obliges us to treat as distinct can refine our purely visual sensitivity to certain color differences in reality, so that our brains are trained to exaggerate the distance between shades of color if these have different names in our language.
It's called "upspeak," and our brains are trained to interpret that pattern as a question.
While there may be genetic differences that influence commitment, other studies suggest that the brain can be trained to resist temptation.
I flit and hop from book to book in precisely the way my brain has been trained to flit and hop from site to site – I have been neurologically rewired.
A child's brain can be trained to enhance self-control and other aspects of executive function.
The core to their technology is that the brain can be trained to change a person's behavior, for example with ADD or addiction.
ANNs are machine learning algorithms designed to mimic the processes in the brain and can be trained to associate a particular output, in this case a pH value, with particular input features.
In brain-wave biofeedback (or neurofeedback), an electroencephalograph measures brain waves, and patients are trained to control them consciously by watching an external cue (a flashing or colored light) that indicates when they are generating the right wave.
Neural networks are collections of algorithms which in effect mimic the functioning of brain systems: they can be "trained" to recognise particular elements in pictures, or in text, and flag their occurrence or absence.
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