Caspar M. Schwiedrzik

The paper investigates how learned auditory predictability affects depth-resolved functional coupling between hippocampal subfields and cortical regions using 7T fMRI.

This study shows that neural representational geometry in ventral temporal cortex adapts gradually to task demands, supporting behavioral flexibility within sensory cortex.

This study investigates the dynamic effects of expectation during statistical learning, finding dissociable patterns in decoding accuracy within and across trials that support the opposing process theory.

The paper introduces a method to separate respiratory and non-respiratory cardiac decelerations during a visual perception task and finds they have opposing effects on perceptual performance.

This study shows that high variability training in perceptual learning enables transfer to novel locations, while low variability training enhances task-specific connectivity, supporting a 'sweet spot' model of learning.

The paper shows orientation coding re-emerges in primate IT cortex and deep networks through functional hubs, not redundancy, highlighting their role in integrative visual processing.

The paper investigates how task-irrelevant variability in visual features affects generalization in perceptual learning, finding that spatial phase variability leads to complete generalization while contrast variability does not.

The paper investigates predictive coding strategies in cortex by analyzing information transfer and predictability using human and mouse data, finding that predictable information is predominantly encoded.

This study creates normative brain growth charts for rhesus macaques across their lifespan using MRI data, revealing developmental milestones and cross-species comparisons with humans.

The paper shows that predictive context enhances separability of neural activity patterns in the macaque face-processing hierarchy by transforming representations from lower to higher areas.

The paper investigates whether visual perceptual learning is effector-specific by studying decision-making processes in an orientation discrimination task using different effectors.

This study shows that learning feature conjunctions in visual perception is more effective when using both pure and mixed selectivity neurons, leading to better performance in related tasks.

This paper shows that introducing variability in training improves generalization in visual perceptual learning by promoting invariant representations, without reducing task performance.

This study shows that humans rely more on previous motor actions than sensory input when forming spatial priors during sensorimotor learning.

This study shows that pupil diameter adjusts to environmental statistical structure, indicating internal models guide adaptive sensory processing in humans and macaques.

The paper introduces PRIME-DE, an open resource for non-human primate MRI data, aggregating 13 datasets from 11 sites across 98 macaques.