Structure alone supports efficient visual computation in the Drosophila visual system

Key points

• Here, we couple the proofread adult Drosophila melanogaster connectome to an anatomically faithful model of its eye.1
• This creates a connectome-only model in which the anatomical graph and eye geometry are fixed and only scalar synaptic gains and neuronal thresholds may be learned.1
• To test whether precise connectivity is consequential under wiring economy, we compare the biological graph to randomized ensembles that increasingly preserve biological synaptic constraints.1
• These findings indicate that the measured connectivity and eye geometry jointly set efficient operating points for visual computation.1

Sources (1)

• [1]Structure alone supports efficient visual computation in the Drosophila visual system
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 7, 01:10 PM

  Understanding the extent to which measured synaptic wiring determines computation remains a central challenge.

  Here, we couple the proofread adult Drosophila melanogaster connectome to an anatomically faithful model of its eye.

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