A new correlation-based measure of spike timing reliability

By Susanne Schreiber, Jean-Marc Fellous, Diane Whitmer, P. Tiesinga, Terrence J. Sejnowski. Neurocomputing, 2003

359 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrochemistry

View Paper: https://www.semanticscholar.org/paper/6ff1f75e1ffee897a146644f48374559e0180511

How researchers see this paper

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

In Cellular and Molecular Neuroscience

1. Filip Ponulak
2. Andrzej J. Kasinski

In Cognitive Neuroscience

1. Filip Ponulak
2. Andrzej J. Kasinski
3. Sergio Davies

Citations in the corpus

• Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (2010, methodology): “To quantitatively evaluate the performance of learning, we adopted a correlation-based metric C proposed by Schreiber, Fellous, Whitmer, Tiesinga, and Sejnowski ( 2003 ) as a measure of the distance between the target and output spike trains.”