Valentin Dragoi

The paper shows that locomotion enhances visuo-frontal communication, improving visual processing and behavioral performance in macaques.

This study examines how freely-moving macaques encode reward prediction dynamics in their prefrontal cortex during foraging decisions.

This study shows that visual cortical populations adapt to encode image features across multiple feature axes during free viewing and fixation, improving network computations.

The paper examines population coding in V1 and V4 of macaques during a visual task, finding that in V4, informative neurons show stronger synchrony and correlations within coding pools than across them.

The paper predicts upcoming behavioral choices from spiking activity in monkey V1 by analyzing the overlap between stimulus and choice information in population vectors.

The paper introduces a model to read-out neural spike trains for stimulus discrimination, showing it outperforms population PSTH in classification and reveals functional subnetworks in V1 and V4.