Cem Uran

The paper investigates the roles of broadband and narrowband gamma oscillations in visual information encoding using ECoG and LFP data from humans and macaques, finding broadband signals to be synergistic and narrowband gamma to be redundant.

The paper identifies distinct temporal roles of PV and Sst interneurons in visually-induced gamma oscillations in awake mice.

The paper investigates surround-induced responses in mouse V1 neurons and finds they occur for large gray patches regardless of RF stimulus mismatch, suggesting they represent surface representation rather than prediction.

The paper investigates whether cortical interactions during prediction error processing are synergistic or redundant, finding that both ERPs and broadband signals show high synergy across the cortical hierarchy.

This study investigates how visual flicker-induced synchronization propagates across cortical regions and affects different cell types, finding frequency-dependent differences in phase locking.

This study uses optogenetics to show that mouse V1 neurons encode high-frequency inputs with phase-locking and low-frequency inputs with more globally reliable responses.

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 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.