Non-Holographic Associative Memory

By David J. Willshaw, O. Buneman, H. C. Longuet-Higgens. 1969

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Citations in the corpus

Using Fast Weights to Attend to the Recent Past (2016, background): “One of the main preoccupations of neural network research in the 1970s and early 1980s [Willshaw et al., 1969, Kohonen, 1972, Anderson and Hinton, 1981, Hopﬁeld, 1982] was the idea that memories were not stored by somehow keeping copies of patterns of neural activity.”
Automatically Composing Representation Transformations as a Means for Generalization (2018, background): “The fast-weights (FW) literature [7, 71] is also related to the idea of selecting different weights at different steps of computation, but with a different motivation for learning context-dependent associative memory [3, 39, 44, 48, 86].”
Optimal Plasticity from Matrix Memories: What Goes Up Must Come Down (1990, methodology): “The third rule takes the form of a covariance rule (Sejnowski 1977a,b) and includes, as a special case, the prescription due to Hopfield (1982) and others ( Willshaw 1971; Kohonen 1972).”
Optimal synaptic learning in non-linear associative memory (2010, background): “Instead it is straight-forward to use simple Hebbian- like learning rules: If, during presentation of a single pattern pair, both the presynaptic and postsynaptic neurons are active then the synaptic weight must be increased.”
Excitation-neurogenesis coupling in adult neural stem/progenitor cells. (2004, background): “For evaluation of proliferation and survival effects, BrdU was rule (Graham and Willshaw, 1999; Willshaw et al., 1969), Jij ( i j), summed over all stored patterns.”
Memory for events and their spatial context: models and experiments. (2001, background): “In this process, region CA3 acts anàuto-associative memory' in which stored patterns of activity are attractor states such that the system will return to the most similar stored pattern from any initial state (Willshaw et al. 1969; Kohonen 1972; Gardner-Medwin 1976; Hop¢eld 1982).”
Impact of active dendrites and structural plasticity on the memory capacity of neural tissue. (2001, background): “Procedures parallel search for groups of correlated afferents encoding important higher-order features in the input Appendix 1: Function Counts, Mutual stream; Information, and Capacity • the finding that axonal and dendritic arborizations are A number of authors have considered the problem of stora”