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D.1 Classical Hebb’s Rule

D.1 Classical Hebb’s Rule

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Hebb’s rule is a postulate proposed by Donald Hebb in 1949 [1]. It is a learning rule that describes how the neuronal activities influence the connection between neurons, i.e., the synaptic plasticity. It provides an algorithm to update weight of neuronal connection within neural network. Hebb’s rule provides a simplistic physiology-based ...

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