Andreea Lazăr

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 visual exposure enhances stimulus encoding and persistence in primary visual cortex by reducing neuronal selectivity and increasing response range, leading to better stimulus reconstruction.

The paper uses optogenetics to show that cortical resonance selectively transmits coherent input components through feedback inhibition and spike-frequency adaptation.

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