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        Connection Strategies in Associative Memory Models

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        903597.pdf (PDF, 593Kb)
        Author
        Chen, W.
        Maex, R.
        Adams, R.G.
        Calcraft, L.
        Steuber, Volker
        Davey, N.
        Attention
        2299/3956
        Abstract
        The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so results in artificial systems could throw light on real systems. We show that there are efficient patterns of connectivity and that these patterns are effective in models with either spiking or non-spiking neurons. This suggests that there may be some underlying general principles governing good connectivity in such networks.
        Publication date
        2009
        Published in
        Lecture Notes in Computer Science
        Published version
        https://doi.org/10.1007/978-3-642-04921-7_5
        Other links
        http://hdl.handle.net/2299/3956
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