[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 …
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
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,) …
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 …
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 …
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 …
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
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 …
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
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 …
dimensional (2D) retinal signals is critical for survival. To ascertain where and how the …
Reconstructing controllable faces from brain activity with hierarchical multiview representations
Reconstructing visual experience from brain responses measured by functional magnetic
resonance imaging (fMRI) is a challenging yet important research topic in brain decoding …
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
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 …
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
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 …
the network of cortical regions important for perception of facial expression, and the …