Inner speaking—the deliberate generation of speech through covert production mechanisms—is a common human experience. Current accounts propose that...

The Algonauts Project 2027 Challenge — how the human brain makes sense of video games. Launching end of 2026. Sign up to stay updated.

Recent studies reveal striking representational alignment between artificial neural networks (ANNs) and biological brains, leading to proposals that all sufficiently capable systems converge on univer...

Progress in artificial intelligence is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalist framew...

Direct recordings from the human brain reveal a hierarchy in planning to speak, with neural activity organizing whole syllables before the individual sounds that compose them are sequenced.

Abstract. Recent advances in neural networks trained on natural language have revealed that category-selective regions encode complex semantics and contextual information of natural scenes in addition...

Parents want accountability after study went disastrously wrong, Science and Retraction Watch investigation reveals

Mobile eye-tracking has revolutionized the study of human behavior and cognition by enabling researchers to record eye movements in the real world. However, the dynamic and multimodal nature of mobile eye-tracking data also introduces significant analytical challenges, including the alignment, integration, and interpretation of complex data. To fill these gaps, we present PyNeon, a versatile, community-oriented Python package designed to streamline the analysis of mobile eye-tracking, motion, and video data from the Neon eye-tracking system (Pupil Labs GmbH). We describe how PyNeon provides accessible APIs for reading, preprocessing, epoching, and exporting Neon data. Furthermore, it supports advanced video processing such as mapping between eye movement data and real-world coordinates and dynamic scanpath estimation. PyNeon presents an open-source and extendable framework for analyzing mobile eye-tracking data and forms the foundation for higher-level applications.

Neuroscience of Consciousness (NCON) is a peer-reviewed, fully open access journal that provides a unique forum for the interdisciplinary fields of consciousnes

Progress in AI is turning machine consciousness from a philosophical curiosity into a societal issue, and has led to criticism of the widespread computational functionalism framework. Biological Natur...

Cell Research - A neuronal basis for mental imagery

Cambridge Core - Neurosciences - Scientific Theories of Consciousness

Zou et al. reveal a key difference between human brains and large language models (LLMs). While LLMs are optimized to predict the next word, the human brain modulates prediction efficiency by strategi...

Author summary How does the brain make sense of the constant stream of visual information? A popular theory suggests the brain is not a passive receiver but an active predictor, constantly generating ...

Single-neuron recordings in humans reveal largely separate content and context neurons whose coordinated activity flexibly places memory items in context.

Welcome to Maastricht University! Are you fascinated by how the brain remembers and predicts information, and how it can tell apart representations of past and future? At Maastricht University, you wi...

The Medial Temporal Lobe (MTL) is key to human cognition, supporting memory, emotional processing, navigation, and semantic coding. Rare direct human MTL recordings revealed concept cells, which were ...

Silent visual reading is accompanied by the phenomenological experience of an inner voice. However, the temporal dynamics and functional role of the underlying neural representations remain unclear. H...

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...

Language understanding entails not just extracting the surface-level meaning of the linguistic input, but constructing rich mental models of the situation it describes. Here we propose that because pr...

Human movements are known to synchronize with rhythmic patterns in music. This study expands our understanding of embodied music perception, by revealing that spontaneous eye blinks also align with mu...

Thank you for taking part in this survey aimed at (anonymously) collecting your thoughts and suggestions on a new resource called the Brain Encoding Response Generator (BERG; https://github.com/gifale...

The unique human ability to process complex language requires the interaction of multiple brain areas located in the inferior frontal and posterior temporal cortex connected by white matter fiber trac...

We perceive continuous speech as a series of discrete words, despite the lack of clear acoustic boundaries. The superior temporal gyrus (STG) encodes …