Patches with Links: A Unified System for Processing Faces in the Macaque Temporal Lobe

By Sebastian Moeller, Winrich Freiwald, Doris Y. Tsao. 2008

425 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation (2016, positive): “Face patches are selectively interconnected to form a face-processing network [36].”
Optogenetic and pharmacological suppression of spatial clusters of face neurons reveal their causal role in face gender discrimination (2015, background): “We stereotactically located a large (∼3 × 4 mm) spatial cluster of high FD neurons in the lower bank of the STS in both monkeys that, based on stereotaxic location, is likely to be the mediolateral (ML) “middle face patch” reported in earlier fMRI (19) and physiology (20, 21) reports.”
Direct activation of sparse, distributed populations of cortical neurons by electrical microstimulation. (2009, background): “, 1998), and, combined with fMRI, to map connections (Tolias et al., 2005; Ekstrom et al., 2008; Moeller et al., 2008).”
Selective for Whole Faces in the Human Amygdala (2011, background): “Face Responses in the Primate Amygdala The amygdala receives most of its visual inputs from visually responsive temporal neocortex [19, 27], and there is direct evidence from electrical microstimulation of functional connections between face-selective patches of temporal cortex and the lateral amygd”
The code for facial identity in the primate brain (2017, methodology): “Results: Recording procedure and stimulus generation We first localized six face patches in two monkeys with fMRI by presenting a face localizer stimulus set containing images of faces and non-face objects (Moeller et al., 2008b; Tsao et al., 2003; Tsao et al., 2008).”
Unsupervised Learning of Invariant Representations in Hierarchical Architectures (2013, background): “Consistent with a hierarchical organization involving information passing from ML/MF to AM via AL, electrical stimulation of ML elicited a response in AL and stimulation in AL elicited a response in AM [65].”
Intelligent Information Loss: The Coding of Facial Identity, Head Pose, and Non-Face Information in the Macaque Face Patch System (2015, methodology): “Additionally, these face patches form an interconnected network, and neurons in different patches have different response properties (Moeller et al., 2008; Freiwald and Tsao, 2010; Issa and DiCarlo, 2012).”
The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex (2014, background): “Consistent with a hierarchical organization involving information passing from ML/MF to AM via AL, electrical stimulation of ML elicits a response in AL and stimulation in AL elicits a response in AM [35].”
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks (2017, background): “Copyright 2017 by the author(s).”
Anatomical connectivity patterns predict face-selectivity in the fusiform gyrus (2011, positive): “A dedicated network of brain regions has been consistently reported to selectively respond to faces, as revealed by fMRI 3, 4 , single-unit recordings 5, 6 , and microstimulation 7 .”
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans (2016, neutral): “τ τ τ− ( ) z Max y w z (1 ) (3) j i ij j 1”