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Missouri University of Science and Technology
<p>Neural networks (Computer science)<br />Decoders (Electronics)<br />Synchronous data transmission systems</p>
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Spiking Neural Networks And Their Applications, Cameron Eric Johnson
Spiking Neural Networks And Their Applications, Cameron Eric Johnson
Doctoral Dissertations
"Artificial neural networks (ANNs) have been developed as adaptable, robust function approximators for at least the last quarter-century. They have progressed through two generations, and the third is now under development. Spiking neural networks (SNNs) seek to improve on previous generations in two ways: by using a more biologically-inspired neuron, they are shown to be capable of more complex calculations; incorporating polychronous properties of highly-recurrent networks with delays of different lengths on each synapse to achieve large numbers of possible patterns with relatively few neurons and synapses.
Abstracted spiking neurons have been used as a third-generation activation function in a …