Sparse Distributed Memory Using Rank-Order Neural Codes
نویسندگان
چکیده
منابع مشابه
Sparse distributed memory using N-of-M codes
An analysis is presented of a sparse distributed memory (SDM) inspired by that described by Kanerva [Kanerva, P. (1988). Sparse distributed memory. Cambridge, MA: MIT Press] but modified to facilitate an implementation based on spiking neurons. The memory presented here employs sparse binary N-of-M codes, unipolar binary synaptic weights and a simple Hebbian learning rule. It is a two-layer net...
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Sparse Distributed Memory was proposed by Pentti Kanerva as a model of human long term memory. He presented it as an architecture that could store large patterns and retrieve them based on partial matches with current sensory inputs. The architecture can be realized as a neural net or as an associative memory. SDM exhibits behaviors, both in theory and in experiment, that resemble those previou...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 2007
ISSN: 1045-9227,1941-0093
DOI: 10.1109/tnn.2006.890804