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Neuroevolutionary Mechanisms in the Synthesis of Spiking Neural Networks.
Serhii Leoshchenko
Andrii Oliinyk
Sergey Subbotin
Matviy Ilyashenko
Artem Borovikov
Published in:
CMIS (2022)
Keyphrases
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spiking neural networks
biologically inspired
neural models
spiking neurons
learning rules
feed forward
artificial neural networks
biologically plausible
computational models
neural network
domain knowledge
learning mechanisms
receptive fields
training set
motor control
artificial intelligence
learning algorithm