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<p>During high-speed behaviour, animals must synchronise perception and action despite rapid environmental and self-generated motion. How neural systems achieve such precision remains unclear. Here we show how the housefly (<i>Musca domestica</i>) maintains visual accuracy during fast motion. Using intracellular and photomechanical recordings during saccade-like stimulation, we traced information flow from photoreceptors to large monopolar cells (LMCs). Visual neurons achieved record-high information sampling (~2500 bits·s<sup>-1</sup>) and synaptic transmission (~4100 bits·s<sup>-1</sup>), far exceeding previous estimates. We identify a previously unknown mechanism - <i>synaptic high-frequency jumping</i> - in which photoreceptor-LMC synapses dynamically shift transmission toward higher frequencies during saccades, extending visual bandwidth to ~1000 Hz, effectively eliminating synaptic delays, and quadrupling classical flicker-fusion limits (~230 Hz). Behavioural experiments show flies respond synchronously within ~13-20 ms, even before photoreceptor responses peak. A biophysically realistic model reveals how photomechanical-stochastic-refractory quantal sampling and synaptic transmission co-adapt with saccadic behaviour: through self-motion, flies efficiently translate image motion into temporally-precise, predictive high-speed vision.</p>

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Synaptic high-frequency jumping synchronises vision to high-speed behaviour

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月5日

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  • Neveen Mansour,
  • Jouni Takalo,
  • Joni Kemppainen,
  • Alice D. Bridges,
  • HaDi MaBouDi,
  • Ali Asgar Bohra,
  • Kaja Anielska,
  • Vera Vasas,
  • Théo Robert,
  • Bruce Yi Bu,
  • Shashwat Shukla,
  • Yiyin Zhou,
  • Maike Kittelmann,
  • Joke Ouwendijk,
  • Judith Mantell,
  • Matthew Lawson,
  • Gonzalo de Polavieja,
  • Elizabeth Duke,
  • Aurel A. Lazar,
  • Paul Verkade,
  • Lars Chittka,
  • Mikko Juusola

摘要

During high-speed behaviour, animals must synchronise perception and action despite rapid environmental and self-generated motion. How neural systems achieve such precision remains unclear. Here we show how the housefly (Musca domestica) maintains visual accuracy during fast motion. Using intracellular and photomechanical recordings during saccade-like stimulation, we traced information flow from photoreceptors to large monopolar cells (LMCs). Visual neurons achieved record-high information sampling (~2500 bits·s-1) and synaptic transmission (~4100 bits·s-1), far exceeding previous estimates. We identify a previously unknown mechanism - synaptic high-frequency jumping - in which photoreceptor-LMC synapses dynamically shift transmission toward higher frequencies during saccades, extending visual bandwidth to ~1000 Hz, effectively eliminating synaptic delays, and quadrupling classical flicker-fusion limits (~230 Hz). Behavioural experiments show flies respond synchronously within ~13-20 ms, even before photoreceptor responses peak. A biophysically realistic model reveals how photomechanical-stochastic-refractory quantal sampling and synaptic transmission co-adapt with saccadic behaviour: through self-motion, flies efficiently translate image motion into temporally-precise, predictive high-speed vision.