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Convolution and correlation algebras
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I
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Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - II
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Quasi-Holographic Techniques in the Microwave Region
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Methoden zum Vergleich des Leistungsvermögens biologischer und technischer Systeme
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Holographic aspects of temporal memory and optomotor responses
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Theories of associative recall
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Holographic Model of Temporal Recall
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Plasma Echo and Spin Echo Holophones
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Some Results in the Theory of Linear Non-Associative Algebras
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Quasi-holographic techniques in the microwave region
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Concerning the Ancestry of the Dogs
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Computer Derivation of Some Dolphin Echolocation Signals
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Autokorrelations-Auswertung als Funktionsprinzip des Zentralnervensystems
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Non-Associative Algebras: I. Fundamental Concepts and Isotopy
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Introduction to Coherent Optics and Holography
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Convolution‐Based Memory Models
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Shape Classification by Using Associative Memories
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Receptive Fields and the Specificity of Neuronal Firing
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An after-shannon measure of the storage capacity of an associative noise-like coding memory
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Some algebraic relations between involutions, convolutions, and correlations, with applications to holographic memories
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Correlation memory models — a first approximation in a general learning scheme
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Some algebraic relations between involutions, convolutions and correlations, with applications to holographic memories
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Modified correlation theorem for the linear canonical transform with representation transformation in quantum mechanics
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Expectation and variance of item resemblance distributions in a convolution-correlation model of distributed memory
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Holographic or fourier logic
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Memory Models: Quantitative
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Memory Models: Quantitative
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Geometric analogue of holographic reduced representation
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Victoria University of Wellington
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Image classification by using associative noise-like coding memories
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Developing TODAM: Three models for serial-order information
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