Johanna Klon-Lipok

The paper shows attention enhances decoding of natural scenes in V1 by aligning with low-dimensional subspaces of natural stimuli, but not synthetic ones.

The paper investigates the role of monkey primary visual cortex in working memory using recordings during a delayed match-to-sample task, finding that V1 maintains a fading trace of the sample stimulus and that test responses depend on probabilistic contingencies.

The paper shows that in macaque V1, repeated visual stimuli lead to reduced firing rates and increased gamma-band synchronization, specific to the stimulus and its location, and generalize to natural images.

The paper uses self-supervised deep neural networks to study how V1 activity predicts natural images, finding distinct roles for synchronization and firing rates in predictive coding.

The paper analyzes gamma oscillations in macaque V1, showing they can be modeled by a linear harmonic oscillator driven by noise, capturing amplitude-duration correlations and other features.

The paper identifies a distinct class of bursting neurons in monkey V1 that show strong gamma synchronization and stimulus selectivity, suggesting a role in encoding visual information.

The paper shows that surface color and predictability modulate V1 firing rates and gamma oscillations, with synchrony indicating predictability from spatial context.

The paper shows that stimulus-specific spike count correlations in V1 are shaped by feedback interactions and high-order stimulus structure, independent of response means.