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"TEMECOR: An Associative, Spatio-temporal Pattern Memory for Complex State Sequences"^^ .
"The problem of representing large sets of complex state sequences (CSSs)---i.e., sequences in which states can recur multiple times---has thus far resisted solution. This paper describes a novel neural network model, TEMECOR, which has very large capacity for storing CSSs. Furthermore, in contrast to the various back-propagation-based attempts at solving the CSS problem, TEMECOR requires only a single presentation of each sequence. TEMECOR's power derives from a) its use of a combinatorial, distributed representation scheme, and b) its method of choosing internal representations of states at random. Simulation results are presented which show that the\nnumber of spatio-temporal binary feature patterns which can be stored to some criterion accuracy (e.g., 97%) increases faster-than-linearly in the size of the network. This is true for both uncorrelated and correlated pattern sets,\nalthough the rate is slightly slower for correlated patterns."^^ .
"1995" .
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"Lawrence Erlbaum Associates, Inc. and INNS Press"^^ .
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"Gerard J."^^ .
"Rinkus"^^ .
"Gerard J. Rinkus"^^ .
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"TEMECOR: An Associative, Spatio-temporal Pattern Memory for Complex State Sequences (PDF)"^^ .
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"wcnn95.pdf"^^ .
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"TEMECOR: An Associative, Spatio-temporal Pattern Memory for Complex State Sequences (Image (PNG))"^^ .
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"preview.png"^^ .
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"TEMECOR: An Associative, Spatio-temporal Pattern Memory for Complex State Sequences (Indexer Terms)"^^ .
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"indexcodes.txt"^^ .
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"HTML Summary of #3472 \n\nTEMECOR: An Associative, Spatio-temporal Pattern Memory for Complex State Sequences\n\n" .
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"Computational Neuroscience" .
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"Neural Nets" .
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