Male and female faces are only perceived categorically when linked to familiar identities--and when in doubt, he is a male.

By R. Armann, I. Bülthoff. 2012

44 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

How researchers see this paper

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

In Cognitive Neuroscience

1. Bernhard Schölkopf
2. Dominik Janzing
3. Jan Peters
4. Joris M. Mooij
5. Jakob Zscheischler
6. Gerhard Neumann
7. David Lopez-Paz
8. Marc Peter Deisenroth

In Experimental and Cognitive Psychology

1. Bernhard Schölkopf
2. Jan Peters

Citations in the corpus

• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “This dataset is taken from a psychological experiment that artificially generates images of human faces that interpolate between male and female, taking real faces as basis (Armann and Bülthoff, 2012).”
• Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks (2014, background): “21 Armann & Bülthoff This data set is taken from a psychological experiment that artificially generates images of human faces that interpolate between male and female, taking real faces as basis (Armann and Bülthoff, 2012).”