Dietrich Samuel Schwarzkopf

This study compares sharpening and dampening theories of expectation's role in visual neural fidelity using fMRI and EEG, finding evidence supporting dampening over sharpening.

This study examines how menstrual-related ovarian hormones affect dynamic cerebrovascular function using MRI and hormone measurements, finding significant neuroendocrine influences on vascular reactivity and hemodynamic response.

The paper investigates vividness of mental imagery as a measure of subjective visual experiences and finds it correlates with various internal visual phenomena and can replace lengthy questionnaires.

The paper estimates 2D spatio-tactile population receptive fields in human BA3b using fMRI and finds that the ulnar-to-radial fingertip axis maps to a superior-to-inferior axis in BA3b.

The paper investigates individual differences in the types of imagined sensations people experience when recalling the past or imagining the future, finding consistent idiosyncratic patterns across these domains.

This paper introduces a deep learning tool to predict functional topography of the human visual cortex from anatomy, demonstrating its utility across diverse conditions and large-scale datasets.

This paper shows that fitting the hemodynamic response function concurrently with population receptive field models improves accuracy and reveals variability in HRFs that can affect pRF estimates.

The paper investigates how spatial frequency adaptation affects population receptive field sizes in the visual cortex using fMRI and psychophysical methods, finding that adaptation to low/high SF reduces/increases pRF sizes.

This study investigates whether binocular rivalry priming can predict subjective visual imagery vividness, finding no strong correlation between the two.

The paper investigates size illusions by comparing their magnitudes across different tasks and finds that some illusions share mechanisms while others do not, highlighting the impact of experimental design.

The paper demonstrates that retinotopic mapping data can accurately match participants across different fMRI datasets despite spatial warping.

The paper introduces a statistical framework for small sample studies to assess the universality of effects and set a priori evidence thresholds.

The paper examines the relationship between mental rotation task performance and imagery vividness, finding that mental rotation is a weak measure of visualisation propensity.

The paper shows that face-selective brain regions share spatial sampling patterns with early visual cortex, supporting a hierarchical model of visuospatial organization in face recognition.

The paper investigates how oscillatory brain activity predicts individual differences in the subjective intensity of imagined sensory experiences.

The paper investigates how variations in visual crowding affect object appearance and shows that these effects are best explained by a population-coding model involving receptive field overlap.

This study investigates age-related changes in cortical layer architecture and sensory function across species, finding layer-specific alterations in myelination and neuronal activity.

The paper shows that extrastriate brain regions respond differently to stimuli in the blind spot compared to the fellow eye, independent of perceptual filling-in.

This paper introduces a data-driven method to estimate connective fields for retinotopic mapping in human visual cortex, showing it can handle unconstrained eye movements and generate maps of the visual periphery.

The paper identifies pitfalls in post hoc analyses of population receptive field data caused by circular data binning and cleaning, leading to artifactual changes that can bias results.

The paper investigates how sensory precision affects confidence in decision-making, finding systematic under-confidence in low-precision stimuli and linking it to neural and physiological factors.

This paper develops a novel data-driven method to accurately map the retinotopic organization around the physiological blind spot in human visual cortex, outperforming conventional model-based approaches.

The paper examines the heritability of retinotopic maps in human visual cortex using twin pairs and finds partial genetic influence on polar angle preferences and spatial selectivity in V2 and V3.

The paper investigates how the brain represents global object perception by analyzing fMRI responses to dynamic stimuli and finds that global perception leads to non-topographic suppression in lower visual cortex and enhancement in higher object-sensitive areas.

This study examines altered visual receptive fields in albinism using fMRI, finding nasal bias and discrete unilateral receptive fields in the abnormal temporal hemiretina representation.

This study shows that the temporal structure of mapping sequences affects population receptive field tuning width estimates in visual cortex.

The paper compares pRF estimates across different MRI scanners and assesses the impact of temporal filtering, finding comparable results between scanners but potential bias from filtering.

This study examines how population receptive fields (pRFs) respond to motion-defined stimuli using fMRI, finding that retinotopic maps in higher visual areas are more pronounced for global motion compared to local motion, and that this pattern is not specific to motion-defined stimuli.

The paper shows individual differences in visual salience along semantic dimensions, with stable patterns across images and countries.

This study investigates age-related changes in population receptive field (pRF) properties in children and adults, finding no significant differences in pRF size, shape, or cortical magnification, suggesting visual perception improvements may stem from more efficient information use rather than neural tuning changes.