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" "Do the lingering ideas of the past block us from seeing clearly how it comes about? Is consciousness just what brains do? Just as a pocket watch with all of its gears tells us the time, do brains with all their neurons just give us consciousness? The history of the topic is vast, swept by pendulum swings between the pure mechanists and the hopeful mentalists. Surprisingly, twenty-five hundred years of human history have not resolved the question or taught our species how to frame an understanding of our personal conscious experience. Indeed, our core ideas have not changed that much. While thinking explicitly about consciousness was ignited by Descartes three hundred years ago, two overarching and contradictory notions — that the mind either is part of the brain’s workings or works somehow independently of the brain — have been around seemingly forever. Indeed, these ideas are still with us.
Michael S. Gazzaniga (born December 12, 1939) is an American neuroscientist, author and professor of psychology at the University of California, Santa Barbara, where he heads the new SAGE Center for the Study of the Mind.
Biography information from Wikiquote
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When communication between the hemispheres is lost, each is unaware of the other’s knowledge and each functions independently based on the information it receives. Both sides of the brain try to complete the task independently, resulting in the tug-of-war. By this simple task, the illusion of a unified consciousness is exposed. Clearly, if consciousness arose from a single location, then a split-brain patient would be unable to have two simultaneous experiences!
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24 It is worthwhile to take a moment to understand the difference between a structural and a functional network. “Structure” refers simply to the physical anatomy of a network: how many neurons, how they are arranged, their shape, and so forth. A functional network performs a certain function; it may have to do with speaking language, or it may have to do with understanding language. Importantly, the structure of a network does not reveal its function, or vice versa.