{
  "id": 10786735,
  "title": "Millisecond-scale detection of mouse ultrasonic vocalizations enables closed-loop experiments",
  "url": "https://urgent.news/2026/09/29/millisecond-scale-detection-of-mouse-ultrasonic-vocalizations-enables",
  "topic": "science",
  "section": "Science",
  "published": "2026-09-29T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.09.24.754020v1?rss=1"
  },
  "original_language": "en",
  "account": "Mouse ultrasonic vocalizations (USVs) are used to gauge social interactions, but they are usually analyzed after recording. Researchers have now developed DeepFisFis, a neural network that detects USVs while they are being made. DeepFisFis examines 5 ms audio segments directly from the waveform, classifying them with high accuracy. Each segment is processed in about 2.5 ms, which is quicker than the incoming audio stream. This real-time detection allows ongoing vocalizations to influence experimental interventions instantly.\n\nIn a practical application, the detections from DeepFisFis triggered an external stimulus, showing the system's ability to control ongoing vocal behavior online. DeepFisFis also enables event-triggered data acquisition. By gating storage around detected calls, the system managed to keep over 99% of vocalization time while only storing about 22% of the continuous recording. This innovation turns USVs from a post-experiment behavioral readout into a real-time experimental signal. With DeepFisFis, researchers can selectively acquire vocal communications and explore the underlying neural circuits through causal interrogation.",
  "summary": "Mouse ultrasonic vocalizations (USVs) provide a rapidly evolving readout of social interaction but are typically analysed only after acquisition. Here we introduce DeepFisFis, a waveform-based neural network that detects USVs while they are being produced. DeepFisFis classifies consecutive 5 ms audio segments directly from the waveform with high accuracy, processing each segment in approximately…",
  "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."
}