That winter, the results of the study were published inwrote a story about it, with the headline “.” Owen eventually estimated that twenty per cent of patients who were presumed to be vegetative were actually awake. This was a discovery of enormous practical consequence: in subsequent years, through painstaking fMRI sessions, Owen’s group found many patients who could interact with loved ones and answer questions about their own care. The conversations improved their odds of recovery.
Now, Norman explained, researchers had developed a mathematical way of understanding thoughts. Drawing on insights from machine learning, they conceived of thoughts as collections of points in a dense “meaning space.” They could see how these points were interrelated and encoded by neurons. By cracking the code, they were beginning to produce an inventory of the mind. “The space of possible thoughts that people can think is big—but it’s not infinitely big,” Norman said.
The origins of this approach, I learned, dated back nearly seventy years, to the work of a psychologist named Charles Osgood. When he was a kid, Osgood received a copy of Roget’s Thesaurus as a gift. Poring over the book, Osgood recalled, he formed a “vivid image of words as clusters of starlike points in an immense space.” In his postgraduate days, when his colleagues were debating how cognition could be shaped by culture, Osgood thought back on this image.
For decades, Osgood’s technique found modest use in a kind of personality test. Its true potential didn’t emerge until the nineteen-eighties, when researchers at Bell Labs were trying to solve what they called the “vocabulary problem.” People tend to employ lots of names for the same thing. This was an obstacle for computer users, who accessed programs by typing words on a command line.
In 2001, a scientist named Jim Haxby brought machine learning to brain imaging: he realized that voxels of neural activity could serve as dimensions in a kind of thought space. Haxby went on to work at Princeton, where he collaborated with Norman. The two scientists, together with other researchers, concluded that just a few hundred dimensions were sufficient to capture the shades of similarity and difference in most fMRI data.
A sinapse precede o pensamento,o encontro do axônio com o dentrito gera um impulso elétrico,pela diferença de potencial,que o corpo humano traduz, por ser capacitado,em pensamento, idéia, música,ad finitum...
It is something you can hold.
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James Somers? Was he named after the Bionic Woman?
Not so good- pl leave our thoughts alone..
I'm grateful to meet TarellaCampbel after the horrible times which I passed through with the fake profiles. Thank you for being sincere and honest.
You don't know what that is? It's called Free will... The question is not what thought is... but what is healthy and unhealthy thought.
A thought is something you don't over think.
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