Implementing a neural associative memory based on non-linear learning of discrete synapses
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United States of America Patent
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Jun 11, 2013
Grant Date -
Dec 9, 2010
app pub date -
Apr 22, 2010
filing date -
Jun 4, 2009
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Abstract
This invention is in the field of machine learning and neural associative memory. In particular the invention discloses a neural associative memory structure for storing and maintaining associations between memory address patterns and memory content patterns using a neural network, as well as methods for retrieving such associations. A method for a non-linear synaptic learning of discrete synapses is disclosed, and its application on neural networks is laid out.
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