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NeuroCOLT
Technical Report NC-TR-00-069
On
the Implications of Delay Adaptability for Learning in Pulsed Neural
Networks
Michael
Schmitt
Abstract
We consider a model for networks of neurons that compute and communicate
in terms of pulses. In addition to weights and thresholds, which are
commonly the parameters of artificial neural networks, these pulsed
neural networks have adaptable delays. We present and discuss the
most recent and prominent results on the complexity of computing and
learning using this new type of parameter.
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