An Introduction to the Event‐Related Potential Technique. Cognitive Neuroscience.By Steven J Luck. Cambridge (Massachusetts): MIT Press. $65.00 (hardcover); $40.00 (paper). xiii + 374 p; ill.;…

By S. Slobounov. 2006

86 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/8901145302f14a748e01060c574f24d7f7166611

How researchers see this paper

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

In Artificial Intelligence

1. John-Dylan Haynes
2. Kai Görgen
3. Frank C. Meinecke
4. Felix Biessmann
5. Stefan Haufe
6. Sven Dähne
7. Benjamin Blankertz
8. K. Müller

In Atomic and Molecular Physics, and Optics

1. John-Dylan Haynes
2. Frank C. Meinecke
3. Felix Biessmann
4. Stefan Haufe
5. Sven Dähne
6. Benjamin Blankertz
7. Kai Görgen

In Cognitive Neuroscience

1. Kai Görgen
2. Stefan Haufe
3. John-Dylan Haynes
4. Benjamin Blankertz
5. Frank C. Meinecke
6. Felix Biessmann
7. Sven Dähne
8. K. Müller

Citations in the corpus

• On the interpretation of weight vectors of linear models in multivariate neuroimaging (2014, methodology): “For many years, mass-univariate methods (e.g., Friston et al., 1994; Luck, 2005; Pereda et al., 2005) have been the most widely used for analyzing multivariate neuroimaging data.”