Lucy S. Petro

Memory-based and surround-based pattern completion show distinct laminar profiles in human V1

The paper investigates memory-based and surround-based pattern completion in human V1 using fMRI, finding distinct laminar decoding profiles for each mechanism.

Retinotopic biases in contextual feedback signals to V1 for object and scene processing

The paper investigates how feedback signals related to objects and scenes are organized in V1, finding that object feedback is foveal and scene feedback is both foveal and peripheral, with task demands affecting scene feedback.

Opposing plasticity mechanisms enhance visual inputs that violate their context

The paper shows how visual cortex neurons adjust their responses to direct inputs and contextual signals through opposing plasticity mechanisms, enhancing improbable inputs or omissions.

Two distinct feedback codes in V1 for \"real\" and \"imaginary\" internal experiences

The paper investigates how real and imaginary experiences are processed in V1 using fMRI and pattern analysis, finding distinct decoding depths for illusions and imagery.

Perceptual priors add sensory detail to contextual feedback processing in V1

The paper shows that perceptual priors enhance feedback processing in early visual areas when re-exposed to previously ambiguous images.

Feedback brings scene information to the representation of occluded image regions in area V1 of monkeys and humans

The paper shows that V1 neurons in monkeys and humans respond to occluded scenes using contextual information, with representations resembling those in humans.

A Self-Supervised Deep Neural Network for Image Completion Resembles Early Visual Cortex fMRI Activity Patterns for Occluded Scenes

This paper compares a self-supervised CNN for image completion with fMRI data from early visual cortex, finding the CNN's decoder pathway more similar to brain activity than a supervised model.

Increased region of surround stimulation enhances contextual feedback and feedforward processing in human V1

The paper uses fMRI and multi-voxel pattern analysis to show that increased contextual surround visibility enhances feedback information and feedforward processing in human V1.

High-resolution line-scanning reveals distinct visual response properties across human cortical layers

This study demonstrates line-scanning fMRI as a high-resolution non-invasive method to map functional properties of human cortical layers during visual stimulation.

Multivoxel Pattern of Blood Oxygen Level Dependent Activity can be sensitive to stimulus specific fine scale responses

The paper evaluates the spatial precision of stimulus-specific BOLD responses using MVPA across cortical depths in V1, finding that multivoxel patterns can achieve sub-millimeter resolution.

Line drawings reveal the structure of internal visual models conveyed by cortical feedback.

The paper uses fMRI data to show that internal visual models in early cortex are categorical and scene-specific, and that line drawings effectively describe their structure.

Predictive feedback to V1 dynamically updates with sensory input

The paper investigates how predictive feedback in V1 updates with eye movements using an apparent motion illusion and functional brain imaging.