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Titlebook: Studies of Mind and Brain; Neural Principles of Stephen Grossberg Book 1982 D. Reidel Publishing Company, Dordrecht, Holland 1982 attention

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Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks,oblem that confronts all cellular systems: the .. Low energy input patterns can be registered poorly by cells due to their internal noise. High energy input patterns can be registered poorly by cells because their sensitivity approaches zero when all their sites are turned on. How do cells balance b
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Competition, Decision, and Consensus,ilosophical problem: How can you design systems of communicators wherein each communicator is characterized by arbitrary individual differences, or personal parameters, each communicator knows about other communicators only through locally perceived signals, yet the communication system as a whole c
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Behavioral Contrast in Short Term Memory: Serial Binary Memory Models or Parallel Continuous Memoryws that popular computer models of free recall data imply erroneous predictions and at best paradoxical neural implementations. I have since been occasionally told that these models were never intended to be taken literally, but that provides scant comfort to their adherents. I undertook this exerci
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Adaptive Pattern Classification and Universal Recoding I: Parallel Development and Coding of Neuralon of a normalization rule to the equations of Chapter 7. Malsburg’s rule directly constrains the total LTM strength of synaptic contacts to each cell. I realized that if this rule held in . learning cells, then classical conditioning would be impossible. I had realized a decade earlier (Chapter 2)
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Behavioral Contrast in Short Term Memory: Serial Binary Memory Models or Parallel Continuous Memoryse to counter the prevalent belief that a computational theory of mind can be advanced without regard to its implementation. Different realizations rule out different phenomena and imply different logical implications among the possible phenomena.
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0068-0346 s a model for specific functions of mind and brain. He finds the classic approach to the mathematical modelling of mind and brain systematically inadequate. This inadequacy, he holds, arises from the attempt to describe adaptive systems in the mathematical language of 9 physics developed to describe
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Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks, input patterns can be registered poorly by cells because their sensitivity approaches zero when all their sites are turned on. How do cells balance between the two equally deadly, but complementary, extremes of noise and saturation? How do cells achieve a Golden Mean?
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