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Shamsi et al., 2020 - Google Patents

Oscillatory Hebbian rule (OHR): An adaption of the Hebbian rule to oscillatory neural networks

Shamsi et al., 2020

Document ID
4094991307867912534
Author
Shamsi J
Avedillo M
Linares-Barranco B
Serrano-Gotarredona T
Publication year
Publication venue
2020 XXXV conference on design of circuits and integrated systems (DCIS)

External Links

Snippet

Hebbian rule plays an important role in training of artificial neural networks. According to this rule, a synaptic weight between two neurons is increased or decreased depending on the activity of the presynaptic and postsynaptic neurons. In this paper, an oscillatory version of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • G—PHYSICS
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