A Novel Spike Distance

By M. V. Rossum. Neural Computation, 2001

602 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Spiking Neural Networks and Their Applications: A Review (2022, methodology): “SuperSpike uses the van Rossum distance [49] between the output and desired spike trains as the loss function, while SpikeProp uses the sum-squared error.”
What makes us tick? Functional and neural mechanisms of interval timing (2005, background): “Mathematical studies indicate that the problem of comparing two neural spike patterns could be solved by different strategies, depending on the acceptable discrimination erro”
SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks (2017, methodology): “Formally, we can frame this problem as an optimization problem in which we want to minimize the van Rossum distance (van Rossum, 2001; Gardner and Grüning, 2016) between ˆ S i and the actual output spike train S i , where α is a normalized smooth temporal convolution kernel.”