{
  "id": 9416597,
  "title": "AVMoments-EEG: A Large-Scale EEG Dataset of Naturalistic Audiovisual Event Perception",
  "url": "https://urgent.news/2026/09/23/avmoments-eeg-a-large-scale-eeg-dataset-of-naturalistic-audiovisual",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-23T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.17.751663v1?rss=1"
  },
  "original_language": "en",
  "account": "Introducing AVMoments-EEG, an expansive dataset of human EEG recordings that sheds light on the brain's processing of dynamic audiovisual events. This groundbreaking dataset, developed by researchers, is the first of its kind to combine naturalistic stimulation with high temporal resolution and systematic experimental manipulation of sensory information.\n\nThe dataset was gathered from 10 participants, with each of them subjected to 64-channel scalp EEG recordings during free viewing of 3-second naturalistic video clips. These clips were sourced from the Audiovisual Moments in Time dataset and comprised a total of 896 training videos, with each of the 16 event types represented by 56 videos. Each video was played three times during the recording process. In addition, there were 64 held-out test videos, each of the 16 event types represented by 4 videos, which were presented 40 times each under three distinct conditions: intact audiovisual input, intact visual input with scrambled audio, and intact auditory input with scrambled visual input. This design resulted in a substantial 10,368 trials per participant, providing an unprecedented level of stimulus coverage and test stimuli repetition.\n\nThe AVMoments-EEG dataset serves multiple purposes, making a significant contribution to the field of neuroscience. Firstly, it allows for a temporally resolved investigation of naturalistic event processing, providing valuable insights into how the brain interprets complex auditory and visual stimuli. Secondly, it explores modality-specific audiovisual contributions, highlighting the unique roles played by each sensory modality in the perception of dynamic events. Lastly, the dataset offers a benchmark for video-to-EEG encoding, EEG-based decoding, and brain-model alignment, serving as a crucial resource for researchers studying dynamic event perception, multisensory processing, and the temporal correspondence between human neural responses and artificial neural network representations.",
  "summary": "Understanding how the human brain processes dynamic audiovisual events requires datasets that combine naturalistic stimulation, high temporal resolution, and systematic experimental manipulation of sensory information. Here, we introduce AVMoments-EEG, the first large-scale, high-temporal-resolution human EEG dataset designed to characterize neural responses to naturalistic audiovisual events.…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}