[HTML][HTML] Network interactions: non-geniculate input to V1

L Muckli, LS Petro - Current opinion in neurobiology, 2013 - Elsevier
The strongest connections to V1 are fed back from neighbouring area V2 and from a network
of higher cortical areas (eg V3, V5, LOC, IPS and A1), transmitting the results of cognitive …

[HTML][HTML] Contributions of cortical feedback to sensory processing in primary visual cortex

LS Petro, L Vizioli, L Muckli - Frontiers in psychology, 2014 - frontiersin.org
Closing the structure-function divide is more challenging in the brain than in any other
organ. For example, in early visual cortex, feedback projections to V1 can be quantified (eg,) …

[HTML][HTML] Reconstructing faces from fMRI patterns using deep generative neural networks

R VanRullen, L Reddy - Communications biology, 2019 - nature.com
Although distinct categories are reliably decoded from fMRI brain responses, it has proved
more difficult to distinguish visually similar inputs, such as different faces. Here, we apply a …

The neural representation of facial-emotion categories reflects conceptual structure

JA Brooks, J Chikazoe, N Sadato… - Proceedings of the …, 2019 - National Acad Sciences
Humans reliably categorize configurations of facial actions into specific emotion categories,
leading some to argue that this process is invariant between individuals and cultures …

Investigating the brain basis of facial expression perception using multi-voxel pattern analysis

M Wegrzyn, M Riehle, K Labudda, F Woermann… - cortex, 2015 - Elsevier
Humans can readily decode emotion expressions from faces and perceive them in a
categorical manner. The model by Haxby and colleagues proposes a number of different …

[HTML][HTML] Emotional expressions evoke a differential response in the fusiform face area

B Harry, MA Williams, C Davis, J Kim - Frontiers in human …, 2013 - frontiersin.org
It is widely assumed that the fusiform face area (FFA), a brain region specialized for face
perception, is not involved in processing emotional expressions. This assumption is based …

[HTML][HTML] Hierarchical computation of 3D motion across macaque areas MT and FST

LW Thompson, B Kim, B Rokers, A Rosenberg - Cell reports, 2023 - cell.com
Computing behaviorally relevant representations of three-dimensional (3D) motion from two-
dimensional (2D) retinal signals is critical for survival. To ascertain where and how the …

Reconstructing controllable faces from brain activity with hierarchical multiview representations

Z Ren, J Li, X Xue, X Li, F Yang, Z Jiao, X Gao - Neural Networks, 2023 - Elsevier
Reconstructing visual experience from brain responses measured by functional magnetic
resonance imaging (fMRI) is a challenging yet important research topic in brain decoding …

The time course of individual face recognition: A pattern analysis of ERP signals

D Nemrodov, M Niemeier, JNY Mok, A Nestor - NeuroImage, 2016 - Elsevier
An extensive body of work documents the time course of neural face processing in the
human visual cortex. However, the majority of this work has focused on specific temporal …

Decoding the dynamic representation of facial expressions of emotion in explicit and incidental tasks

FW Smith, ML Smith - Neuroimage, 2019 - Elsevier
Faces transmit a wealth of important social signals. While previous studies have elucidated
the network of cortical regions important for perception of facial expression, and the …