A Cortical Region Consisting Entirely of Face-Selective Cells
By Doris Y. Tsao, Winrich Freiwald, R. Tootell, Margaret S. Livingstone. Science, 2006
832 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/43d81f3e780473d0fdef5a11af7d9ed77d4499c8
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
- Nikolaus Kriegeskorte
- James V. Haxby
- James J. DiCarlo
- Tomaso A. Poggio
- Fabio Anselmi
- Joel Z. Leibo
- Doris Y. Tsao
- Frank Tong
In Computer Vision and Pattern Recognition
- Nikolaus Kriegeskorte
- James V. Haxby
- James J. DiCarlo
- Fabio Anselmi
- Tomaso A. Poggio
- Qianli Liao
- Joel Z. Leibo
- Doris Y. Tsao
Citations in the corpus
- Predictive Coding and the Neural Response to Predictable Stimuli (2010, methodology): “Further experiments however, ideally combining fMRI and single-cell electrophysiology (Tsao et al., 2006), are needed to identify whether the reductions in BOLD signal really do reflect a predictive coding-based explaining away or a fine tuning of sensory representations.”
- Comparing face patch systems in macaques and humans (2008, background): “Recordings from the 2 middle face patches (24) have shown that these consist almost entirely of face-selective neurons.”
- The neural basis of visual body perception (2007, background): “Subsequent recordings from individual neurons in the face-selective area (as identified with fMRI) revealed that almost all of the cells were strongly selective for face”
- Mechanisms of face perception. (2008, methodology): “From (Sinha 2002a).”
- Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System (2015, methodology): “Recent work in macaque monkeys has identified six discrete face areas where most neurons have higher firing rates to images of faces compared with other objects (Tsao et al., 2006).”
- Foundations of Vision (2018, background): “Indeed, facial identity can be reliably decoded from their patterns of activity, whereas information about exemplars from other object categories has proven unreliable (Tsao et al., 2006).”
- Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination (2015, methodology): “We also performed six experimental sessions injecting muscimol at neighboring IT loci (at least 2 mm away from the closest recorded high-FD subregion), and we found no detectable behavioral impact on the face-discrimination task [repeated-measures ANOVA interaction test, F(4,20)=1.”