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Prediction of the Impact of Approximate Computing on Spiking Neural Networks via Interval Arithmetic.
Sepide Saeedi
Alessio Carpegna
Alessandro Savino
Stefano Di Carlo
Published in:
LATS (2022)
Keyphrases
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spiking neural networks
interval arithmetic
constraint propagation
biologically inspired
neural network
real numbers
multiscale
training data
feature vectors
active learning
piecewise linear
floating point
learning rules
implicit surfaces