Construct · 1 fields · 1 citations

spiking neural network: a standalone construct

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Machine learning

a network of model neurons that communicate by the timing of discrete spikes, argued to be computationally more powerful than threshold or sigmoid networks.

In machine learning, spiking neural network refers to a network of model neurons that communicate by the timing of discrete spikes, argued to be computationally more powerful than threshold or sigmoid networks. This meaning comes from Maass (1997) in Neural Networks.[1]

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs model3 fields · 3 citationsjingle · one word, three constructs network4 fields · 6 citationsjingle · one word, four constructs

References

Maass, W. (1997). Networks of spiking neurons: The third generation of neural network models. Neural Networks, 10(9), 1659-1671. https://doi.org/10.1016/s0893-6080(97)00011-7

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