Sevak, B. | Search bioRxiv

bioRxiv2026

Neural Signatures of Conscious Experience During Sleep: A Serial Awakening Study Using High-Density EEG

Identifying neural signatures of consciousness remains a central challenge in neuroscience. Sleep offers a tractable model for comparing brain activity in the presence or absence of subjective experience while minimizing behavioral responsiveness confounds. Using overnight 256 electrode high-density EEG in 140 participants and a serial-awakening paradigm, we analyzed 699 non-rapid eye movement (NREM) sleep stage 2 and 3 awakenings (351 dreaming experience, 348 no experience). Features from the 60s preceding awakening included regional spectral power, lagged-coherence connectivity, graph-theoretic metrics and gamma-to-alpha power ratios. Dreaming experiences were associated with shifts in posterior spectral balance, particularly reduced alpha and delta power and increased gamma-related measures, together with altered large scale network organization. In participant-level cross-validated machine-learning analyses, all classifiers performed above chance, with the best ensemble model reaching an ROC-AUC of 0.80 and average precision of 0.80. These findings identify reproducible posterior electrophysiological and network-level signatures of conscious states during NREM sleep.

neuroscience↗

bioRxiv2026

Meaning-based guidance of attention in rhesus monkeys during naturalistic scene viewing

In humans and other primates, high-acuity vision is restricted to the fovea, requiring frequent saccadic eye movements to sample visual information, a process known as overt attention. Classical visual salience theory explains how low-level image features guide these movements, but recent human studies have shown that overt attention is also strongly guided by scene meaning--the spatial distribution of semantic informativeness. Whether this form of attentional guidance is uniquely human or shared across primate vision remains unknown. Here, we addressed this question by recording eye movements from two rhesus macaques freely viewing naturalistic indoor scenes. Fixation selection was modeled using meaning maps alongside image-based salience maps and center proximity. In both monkeys, meaning robustly predicted fixation selection after controlling for visual salience and center bias. Moreover, high-meaning regions captured attention independently of visual salience, whereas salience played an increasingly important role as meaning decreased. While this prioritization of meaningful regions remained robust across environments, familiarity broadened visual exploration by increasing the likelihood of fixating less meaningful areas. Finally, the influence of meaning on fixation selection strengthened with attentional engagement. These findings suggest that meaning-based attention is an evolutionarily conserved component of primate vision and establish a behavioral foundation for investigating its neural mechanisms.

animal behavior and cognition↗