Mark D. Lescroart
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View article: Dimensions of tuning for 3D scene structure in the brain reflect dimensions of 3D structure encountered during natural behavior.
Dimensions of tuning for 3D scene structure in the brain reflect dimensions of 3D structure encountered during natural behavior. Open
View article: Two Previously Undescribed Cortical Regions Selective for Bodies in the Visual Periphery
Two Previously Undescribed Cortical Regions Selective for Bodies in the Visual Periphery Open
View article: Novel Body-Selective Regions Responsive to Bodies Away from the Center of Gaze
Novel Body-Selective Regions Responsive to Bodies Away from the Center of Gaze Open
We report the existence of two previously undescribed body-selective visual regions in the human brain, which we term the Ventromedial Body Area (VMBA) and the Medial Body Area (MBA). We localize these regions based on high-signal localize…
View article: The visual experience dataset: Over 200 recorded hours of integrated eye movement, odometry, and egocentric video
The visual experience dataset: Over 200 recorded hours of integrated eye movement, odometry, and egocentric video Open
We introduce the Visual Experience Dataset (VEDB), a compilation of more than 240 hours of egocentric video combined with gaze- and head-tracking data that offer an unprecedented view of the visual world as experienced by human observers. …
View article: A radial template space reveals organization of feature and task-selective regions in lateral occipitotemporal cortex
A radial template space reveals organization of feature and task-selective regions in lateral occipitotemporal cortex Open
View article: Bayesian Decoding Reveals Retinotopic Selectivity for Body Positions in Body-Selective Regions
Bayesian Decoding Reveals Retinotopic Selectivity for Body Positions in Body-Selective Regions Open
View article: Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses
Occipital-temporal cortical tuning to semantic and affective features of natural images predicts associated behavioral responses Open
In everyday life, people need to respond appropriately to many types of emotional stimuli. Here, we investigate whether human occipital-temporal cortex (OTC) shows co-representation of the semantic category and affective content of visual …
View article: The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video
The Visual Experience Dataset: Over 200 Recorded Hours of Integrated Eye Movement, Odometry, and Egocentric Video Open
We introduce the Visual Experience Dataset (VEDB), a compilation of over 240 hours of egocentric video combined with gaze- and head-tracking data that offers an unprecedented view of the visual world as experienced by human observers. The …
View article: Voxelwise Modeling Reveals Selectivity for Body Part Identity and Location in BOLD fMRI Responses to Complex Naturalistic Stimuli
Voxelwise Modeling Reveals Selectivity for Body Part Identity and Location in BOLD fMRI Responses to Complex Naturalistic Stimuli Open
Information about bodies plays an important role in human interaction, and multiple regions in human lateral occipitotemporal cortex (LOTC) represent body parts, poses, and actions. However, different studies have reported varying estimate…
View article: Scene- and object-based tasks performed on the same complex stimuli activate different regions in parietal and lateral occipital cortex.
Scene- and object-based tasks performed on the same complex stimuli activate different regions in parietal and lateral occipital cortex. Open
Visual tasks activate regions throughout the parietal, frontal, and inferior temporal cortex. Past work has found that many of these regions are similarly activated by a wide variety of tasks and consequently these regions together have be…
View article: Control of BOLD fMRI Responses Via Stimuli Generated with Voxel-Weighted Neural Network Activation Maximization
Control of BOLD fMRI Responses Via Stimuli Generated with Voxel-Weighted Neural Network Activation Maximization Open
Encoding models based on neural networks make accurate predictions of brain activity. However, the relative opacity of these models has limited the capacity of this approach to reveal human-level experimental insights into cortical organiz…
View article: PCA Reveals Common Spatial Patterns of Motion Energy in Diverse Stimulus Sets and in Scene-Selective Area Voxel Tuning
PCA Reveals Common Spatial Patterns of Motion Energy in Diverse Stimulus Sets and in Scene-Selective Area Voxel Tuning Open
Many studies have characterized regions in the brain, including MT and MST, that are sensitive to local and global patterns of motion contrast. However, visual motion also contains information about three-dimensional scene structure in nat…
View article: Slippage Correction in Mobile Head Mounted Eye-tracking Systems
Slippage Correction in Mobile Head Mounted Eye-tracking Systems Open
In recent years there has been a shift from desktop-based eye tracking to mobile eye tracking to facilitate experimentation in naturalistic environments. One substantial challenge of mobile eye tracking is inadvertent movement of the eye t…
View article: Methodological limits on sampling visual experience with mobile eye tracking
Methodological limits on sampling visual experience with mobile eye tracking Open
Humans explore the world with their eyes, so an ideal sampling of human visual experience requires accurate gaze estimates while participants perform a wide range of activities in diverse locations. In principle, mobile eye tracking can pr…
View article: Whole-network activation maximization: a flexible method for exploring visual selectivity in the brain
Whole-network activation maximization: a flexible method for exploring visual selectivity in the brain Open
Regression models based on deep neural networks (DNNs) can accurately predict BOLD responses to diverse stimuli in human visual cortex. However, interpretation of DNN models remains challenging. Past work has used a range of methods includ…
View article: Invited Session IV: Top-down vs. bottom-up approaches to computational modeling of vision: Limits of prediction accuracy on randomly selected natural images for model evaluation
Invited Session IV: Top-down vs. bottom-up approaches to computational modeling of vision: Limits of prediction accuracy on randomly selected natural images for model evaluation Open
Prediction accuracy on held-out data has become a critical analysis for quantitative model evaluation and hypothesis testing in computational cognitive neuroscience. In this talk, I will discuss the limits of prediction accuracy as a stand…
View article: Decision letter: Social-affective features drive human representations of observed actions
Decision letter: Social-affective features drive human representations of observed actions Open
Article Figures and data Abstract Editor's evaluation Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Humans observe actions…
View article: Voxelwise modeling reveals selectivity for body part identity and location in BOLD fMRI responses to complex naturalistic stimuli
Voxelwise modeling reveals selectivity for body part identity and location in BOLD fMRI responses to complex naturalistic stimuli Open
Perception of bodies is central to social interaction, and large portions of human lateral occipitotemporal cortex (LOTC) purportedly represent body parts, poses, and actions. Prior research has found tuning for body parts and their locati…
View article: LO represents motion and semantic categories in addition to object boundaries
LO represents motion and semantic categories in addition to object boundaries Open
Segmenting objects from backgrounds is a critical function of the human visual system. Studies have shown that intermediate-level visual areas including Lateral Occipital cortex (LO) represent information about object boundaries, but also …
View article: Decision letter: The representational space of observed actions
Decision letter: The representational space of observed actions Open
Article Figures and data Abstract Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Categorizing and understanding other peopl…
View article: Variance Partitioning Reveals Consistent Representation of Object Boundary Contours in LO Across Different Datasets
Variance Partitioning Reveals Consistent Representation of Object Boundary Contours in LO Across Different Datasets Open
View article: Human Scene-Selective Areas Represent 3D Configurations of Surfaces
Human Scene-Selective Areas Represent 3D Configurations of Surfaces Open
View article: Convolutional neural networks represent shape dimensions—but not as accurately as humans
Convolutional neural networks represent shape dimensions—but not as accurately as humans Open
Modern convolutional neural networks (CNNs) trained to categorize images are known to provide good models for many aspects of human vision, including shape perception. However, the relative ability of humans and CNNs on basic 3D shape dime…
View article: No Evidence for Automatic Remapping of Stimulus Features or Location Found with fMRI
No Evidence for Automatic Remapping of Stimulus Features or Location Found with fMRI Open
The input to our visual system shifts every time we move our eyes. To maintain a stable percept of the world, visual representations must be updated with each saccade. Near the time of a saccade, neurons in several visual areas become sens…
View article: Both convolutional neural networks and voxel-wise encoding models of brain activity derived from ConvNets represent boundary-and surface-related features
Both convolutional neural networks and voxel-wise encoding models of brain activity derived from ConvNets represent boundary-and surface-related features Open
Convolutional neural networks (ConvNets) have achieved almost human-level performance on object recognition tasks, and voxel-wise encoding models based on ConvNet features yield accurate predictions of human brain activity. This suggests t…
View article: No Evidence for Automatic Remapping of Stimulus Features or Location Found with fMRI
No Evidence for Automatic Remapping of Stimulus Features or Location Found with fMRI Open
The input to our visual system shifts every time we move our eyes. To maintain a stable percept of the world, visual representations must be updated with each saccade. Near the time of a saccade, neurons in several visual areas become sens…
View article: Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas
Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas Open
Perception of natural visual scenes activates several functional areas in the human brain, including the Parahippocampal Place Area (PPA), Retrosplenial Complex (RSC), and the Occipital Place Area (OPA). It is currently unclear what specif…
View article: Pycortex: an interactive surface visualizer for fMRI
Pycortex: an interactive surface visualizer for fMRI Open
Surface visualizations of fMRI provide a comprehensive view of cortical activity. However, surface visualizations are difficult to generate and most common visualization techniques rely on unnecessary interpolation which limits the fidelit…
View article: A model of surface depth and orientation predicts BOLD responses in human scene-selective cortex
A model of surface depth and orientation predicts BOLD responses in human scene-selective cortex Open
A network of areas in the human brain—including the Parahippocampal Place Area (PPA), the Occipital Place Area (OPA), and the Retrosplenial Cortex (RSC)—represent visual scenes. However, it is still unclear whether these areas represent hi…
View article: The representation of medial axes in the perception of shape
The representation of medial axes in the perception of shape Open
Aristotle famously said that vision is ?to know what is where, by looking??but that is not the whole story. Vision is also to know what is where relative to everything else. We constantly make use of relative position information, when we …