The key insight in the paper involves grid cells. We deduced that grid cells exist throughout the neocortex. These “cortical grid cells” track the locations of your sensors as they move relative to objects in the world.
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The paper proposes that we learn the structure and behavior of objects based on locations and location spaces defined by cortical grid cells.
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Our theory suggests that instead of learning one big model of the world, the neocortex learns thousands of distributed models that operate in parallel. We call this the "Thousand Brains Theory of Intelligence.”
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We also predict a new type of neuron, “displacement cells” that partner with cortical grid cells to represent positions of objects relative to each other. Displacement cells allow us to learn new objects as compositions of previously learned objects, a form of generalization.
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We propose that these mechanisms apply to concepts as well as physical objects, providing a framework for all forms of intelligent thought.
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We have several additional resources on our site, including a companion piece written for non-neuroscientists, an
#HTM School video, and a second paper with a detailed network model of how grid cells can learn and infer objects.https://numenta.comPrikaži ovu nit
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“Breakthrough” is a bit of a stretch. It’s a piece of the puzzle, not the cover image ;) Props to
@JeffCHawkins though. IMO it took too long using solely the neuro-physiological method, when his goal is to duplicate the functions.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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