Background Auditory verbal hallucinations (‘voices’) in clinical psychosis are associated with significant distress and disability, but the efficacy of CBT for voices is modest. Greater phenomenolog.....

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Nature - People cheat more when they delegate tasks to artificial intelligence, and large language models are more likely than humans to comply with unethical instructions—a risk that can be...

Author summary Neurons often fire in synchrony, generating rhythms that play major roles in brain functioning. These rhythms are hallmarks of different brain states of vigilance, such as sleep and wak...

Tang and Huth demonstrate that semantic decoders can be transferred across participants using functional alignment, and that this alignment can be performed using responses to either stories or movies...

Our understanding of the neural basis of consciousness is mostly restricted to large-scale brain activity patterns as measured by methods such as functional magnetic resonance imaging (fMRI) and magneto/electro-encephalography (M/EEG). In contrast, we lack even basic understanding of circuit-level mechanisms supporting consciousness – particularly in humans – despite the fundamental role that such mechanisms likely play in instantiating larger-scale brain activity patterns supporting conscious states and contents. Here, we review what progress has been made on circuit-level theories of consciousness (e.g., apical amplification theory, dendritic integration theory) and argue that such theories can be tested in humans using recently developed, state-of-the-art methods. Doing so will further facilitate translation of consciousness science into clinical settings and strengthen the bridge between circuit- and network-level theories of consciousness.

We outline practical strategies to enhance the reliability of clustering results in neuroimaging, addressing challenges in validation and interpretability. By integrating consensus-clustering, machin...

UCLA's Terence Tao called the Trump administration's actions an "existential threat" to academic research in the U.S.