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

Neveen Mansour, Jouni Takalo, Joni Kemppainen +19 more
February 2026
 ·
bioRxiv
 ·
DOI 
10.1101/2025.08.20.671248
94
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Reproducible
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This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Neuroscience this quarter.
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Why this is interesting

By uncovering synaptic high-frequency jumping—where fly photoreceptor synapses extend bandwidth to 1,000 Hz during saccades—this work overturns the canonical low-pass-filter model of early vision and reveals how nervous systems achieve ultrafast predictive sensing.

Author perspective

What is the most important insight, discovery, or finding from your paper that you would like other scientists to know?
“

The most important insight from our study is that fast vision is not achieved simply by making neurons faster, but by transforming how visual information is actively sampled and represented. In houseflies, motion-driven photoreceptor dynamics and synaptic high-frequency jumping shift visual information into higher-frequency bands, enabling hyperacute, minimal-delay encoding during rapid behaviour. This reveals a biophysical strategy by which small brains overcome apparent limits of optics and synaptic transmission - with implications for both neuroscience and bio-inspired AI.

”
Mikko Juusola

QED claims analysis

Summary

Housefly compound eyes achieve ultrafast, hyperacute vision during high-speed saccadic behaviors through a morphodynamic neural superposition system in which photoreceptor microsaccades dynamically reshape receptive fields and photoreceptor-LMC synapses exhibit synaptic high-frequency jumping—a novel mechanism that shifts neural transmission toward higher frequencies (up to ~1,000 Hz), eliminates synaptic delays, enables information transfer rates exceeding 4,100 bits/s, resolves moving objects below the diffraction limit, and supports voluntary visually-guided behaviors within 13-20 ms by transforming self-generated motion into temporally-precise predictive encoding.

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Main Claim 1 –

Photoreceptor Microsaccades Dynamically Reshape Receptive Fields in Neural Superposition

Supporting evidence

  • Musca Morphodynamic Processing Transfers Information Threefold Faster Than Drosophila
Main Claim 2 –

Photoreceptor–LMC Synapses Shift Transmission to High Frequencies During Saccades

Supporting evidence

  • High-Frequency Jumping Enables ~4,100 bits/s Information Transfer in LMCs
  • High-Frequency Jumping Requires Six-Photoreceptor Pooling and Fast Feedback Synapses
  • Stimulus and SNR Validation Confirm High-Frequency Jumping Measurements
Main Claim 3 –

Morphodynamic Neural Superposition Resolves Moving Objects Below Diffraction Limit

Main Claim 4 –

Houseflies Initiate Visually Guided Behaviors Within 13–20 ms

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 (∼2,500 bits·s-1) and synaptic transmission (∼4,100 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 ∼1,000 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 co-adapts with saccadic behaviour: through self-motion, flies efficiently translate image motion into temporally-precise, predictive high-speed vision.

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