Researchers developed a multilayer MEG framework that estimates activity across cortical depth non-invasively. Simulations and three human datasets show when reliable laminar inference is possible, en...

In this study, Luppi et al. systematically characterized and modeled more than 6,000 features of neural activity during anesthesia. They reveal a shared but reversible dynamical endpoint of anesthesia...

Nonverbal thoughts can be translated into verbal descriptions by aligning semantic representations between text and the brain.

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

The human brain’s capacity to imagine visual scenes from memory is thought to rely on the medial temporal subsystem of the default mode network (MT-DMN), yet the neural codes supporting this ability r...

The real world is stochastic, making it difficult to know when planning is worthwhile. Here the authors show that as stochasticity increases, people spend less effort planning and adopt simpler, less ...

Expectations—prior knowledge of environmental statistics—support adaptive behavior by reducing uncertainty during inference. However, the questions of where expectations come from and how that ought t...

ALT: Joyful Celebration Dance

Background: Existing research has identified areas of strength and challenge in relation to autistic attention. However, this work has tended to rely on compari...

Aquaporin-4 (AQP4) water channels support the glymphatic system, a brain-wide pathway that clears cerebral waste products. Here, we use AQP4 gene expression to reconstruct a whole-brain glymphatic-rel...

Neuroscientific learning theories propose that the brain acquires knowledge by constructing internal world models. Supervised learning, the dominant approach in deep neural networks (DNN), relies on e...