On the Implications of Delay Adaptability for Learning in Pulsed Neural Networks
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