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

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 VerkadeLars Chittka, Mikko Juusola*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

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.
Original languageEnglish
Article number3863
Number of pages22
JournalNature Communications
Volume17
Issue number1
DOIs
Publication statusPublished - 5 May 2026

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© The Author(s) 2026.

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