Kendrick Kay

Electrical perturbation reveals a directional architecture for communication across human visual streams

The paper uses electrical stimulation to map directional connectivity in human visual cortex, revealing an asymmetric architecture of interareal influence.

A single computational objective can produce specialization of streams in visual cortex

The paper uses a self-supervised neural network to show that visual streams in the brain may arise from a single computational principle rather than separate behavioral specializations.

Single pulse electrical stimulation in white matter modulates iEEG visual responses in human early visual cortex

This study shows that single electrical pulses in white matter modulate visual evoked potentials but not broadband responses, suggesting additive noise effects and enhanced visual input synchrony.

Intracortical vessel density mapping at mesoscale reveals regionally specific angioarchitecture in the human brain

The paper maps mesoscopic vascular networks in the human brain using the BigBrain dataset, revealing non-uniform vascular density related to cortical areas.

Objective Quality Assessment for Precision Functional MRI Data

The paper introduces NSI, an objective measure to assess data quality for precision functional MRI, aligning with expert evaluations and enabling principled decisions on data sufficiency.

Whole-brain meso-vein imaging in living humans using fast 7 T MRI

This paper introduces a fast whole-brain MRI protocol for mesoscopic venous imaging in humans, enabling detailed vascular mapping in under seven minutes without contrast agents.

Motion-corrected eye tracking (MoCET) improves gaze accuracy during visual fMRI experiments

The paper introduces MoCET, a method to correct eye tracking drift in fMRI by using head motion parameters, improving gaze accuracy over existing methods.

Mnemonic maps of visual space in human prefrontal cortex

This study uses high-resolution fMRI to show that human prefrontal cortex encodes visual memory with a topological organization similar to animal models.

Attention Improves Population Codes by Warping Neural Manifolds in Human Visual Cortex

This study shows that attention improves population codes in the human visual cortex primarily through tuning changes, not correlation changes.

Variation in the geometry of concept manifolds acrosshuman visual cortex

The paper examines how geometric properties of concept manifolds in human visual cortex and DNNs affect classification accuracy, finding differences in the key geometric factors driving performance.

Representational Geometries Across Visual Working Memory Encoding and Maintenance

This study investigates how representational geometry of visual working memory changes between encoding and maintenance phases using human fMRI.

A transformation from vision to imagery in the human brain

The paper introduces an imagery transformation framework to compare visual and mental imagery brain activity, finding that imagery patterns are transformed versions of visual patterns with fewer active dimensions.

Developmental prosopagnosics have normal spatial integration in posterior ventral face-selective regions

This study examines pRF properties in developmental prosopagnosics and controls, finding similar pRF characteristics despite facial recognition deficits.

Disentangling signal and noise in neural responses through generative modeling

This paper introduces GSN, a method to disentangle signal and noise in neural responses, showing it improves dimensionality estimates in fMRI data.

A two-dimensional space of linguistic representations shared across individuals

The paper identifies two interpretable dimensions of linguistic processing using fMRI data, showing they generalize across individuals and relate to processing difficulty and meaning abstractness.

Dissociating stimulus encoding and task demands in ECoG responses from human visual cortex

The paper examines ECoG responses in human visual cortex to determine how sensory encoding and task demands influence neural activity, finding distinct frequency-dependent effects.

Hierarchical Processing of Natural Scenes in the Human Pulvinar

The paper investigates the role of the pulvinar in high-level visual processing using fMRI and finds it has functional specificity for bodies and faces, mirroring cortical organization principles.

Cortical substrates of perceptual confusion between pitch and timbre

The paper investigates neural substrates of perceptual confusion between pitch and timbre by analyzing fMRI responses to manipulated auditory stimuli.

Situating the parietal memory network in the context of multiple parallel distributed networks using high-resolution functional connectivity

The paper defines the parietal memory network (PMN) using high-resolution fMRI and finds it extends beyond traditional regions to include multiple cortical areas.

Vicarious Somatotopic Maps Tile Visual Cortex

The paper maps somatosensory and visual field tuning in the brain, showing aligned somatotopic body maps in the visual cortex during movie watching.

Stacked regressions and structured variance partitioning for interpretable brain maps

This paper introduces stacking and structured variance partitioning methods to improve interpretability of brain maps by handling correlated stimulus features.

BOLD Moments: modeling short visual events through a video fMRI dataset and metadata

The paper introduces BOLD Moments Dataset (BMD), a video fMRI dataset capturing whole-brain responses to naturalistic videos, and shows its ability to capture temporal dynamics and correlate with video memorability.

Temporal asymmetry of neural representations predicts memory decisions

The paper shows that memory decisions are predicted by the difference in neural similarity between past and future events, with strongest effects in recent memory and weak true memories.

Semantic plasticity across timescales in the human brain

The paper investigates how the brain balances stability and plasticity in semantic representations over different timescales using fMRI data from multiple sessions.

Driving and suppressing the human language network using large language models

The paper uses a GPT-based model to predict and control brain responses to language in humans using fMRI data.

Social cognitive regions of human association cortex are selectively connected to the amygdala

The paper identifies specific connections between social cognitive association areas and the amygdala, suggesting a role for the medial nucleus in social cognition.

Expansion of a frontostriatal salience network in individuals with depression

The paper identifies a two-fold expansion of the frontostriatal salience network in individuals with depression using longitudinal neuroimaging data and shows its stability over time and predictive value for future symptoms.

Spatial Frequency Maps in Human Visual Cortex: A Replication and Extension

The paper replicates and extends a model of spatial frequency tuning in human visual cortex, showing consistent parameters across datasets and revealing increased tuning bandwidth in higher visual areas.

Re-expression of CA1 and entorhinal activity patterns preserves temporal context memory at long timescales

The paper shows that re-expression of CA1 and entorhinal activity patterns predicts temporal context memory over long timescales in humans.

Engaging in word recognition elicits highly specific modulations in visual cortex

This study shows that the visual word form area (VWFA) shows task-specific response and connectivity changes during word recognition, distinct from general attention effects.