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Ghosh-Dastidar et al., 2009 - Google Patents

A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection

Ghosh-Dastidar et al., 2009

Document ID
13543284787751609268
Author
Ghosh-Dastidar S
Adeli H
Publication year
Publication venue
Neural networks

External Links

Snippet

A new Multi-Spiking Neural Network (MuSpiNN) model is presented in which information from one neuron is transmitted to the next in the form of multiple spikes via multiple synapses. A new supervised learning algorithm, dubbed Multi-SpikeProp, is developed for …
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Classifications

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    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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