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bibo:abstract "The coding mechanism of sensory memory on the neuron scale is one of the most\r\nimportant questions in neuroscience. We have put forward a quantitative neural network model,\r\nwhich is self-organized, self-similar, and self-adaptive, just like an ecosystem following\r\nDarwin's theory. According to this model, neural coding is a “mult-to-one”mapping from\r\nobjects to neurons. And the whole cerebrum is a real-time statistical Turing Machine, with\r\npowerful representing and learning ability. This model can reconcile some important disputations,\r\nsuch as: temporal coding versus rate-based coding, grandmother cell versus population coding,\r\nand decay theory versus interference theory. And it has also provided explanations for some key\r\nquestions such as memory consolidation, episodic memory, consciousness, and sentiment.\r\nPhilosophical significance is indicated at last.\r\n"^^xsd:string;
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