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A Quantitative Neural Coding Model of Sensory Memory

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Document pages: 9 pages

Abstract: The coding mechanism of sensory memory on the neuron scale is one of the mostimportant questions in neuroscience. We have put forward a quantitative neural network model,which is self-organized, self-similar, and self-adaptive, just like an ecosystem followingDarwin s theory. According to this model, neural coding is a “mult-to-one”mapping fromobjects to neurons. And the whole cerebrum is a real-time statistical Turing Machine, withpowerful representing and learning ability. This model can reconcile some important disputations,such as: temporal coding versus rate-based coding, grandmother cell versus population coding,and decay theory versus interference theory. And it has also provided explanations for some keyquestions such as memory consolidation, episodic memory, consciousness, and sentiment.Philosophical significance is indicated at last.

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