# Connectome-based biophysical modeling of a figure-ground discrimination circuit

Article · Liu Ziyin, Yifei Lu, Alexander Borst, Sven Dorkenwald, Tomaso Poggio

- Archive id: doi:10.64898/2026.09.17.752514
- Published: 2026-09-24
- Venue: bioRxiv (Cold Spring Harbor Laboratory)
- DOI: https://doi.org/10.64898/2026.09.17.752514
- Citations: 0
- Source URL: https://doi.org/10.64898/2026.09.17.752514
- PDF: https://www.biorxiv.org/content/biorxiv/early/2026/09/24/2026.09.17.752514.full.pdf
- Provenance: openalex

## Abstract

Figure-ground discrimination via relative motion represents a highly conserved visual computation essential for uncovering camouflage \\citep{reichardt1983figure,Egelhaaf1985}. Over forty years ago, the Reichardt-Poggio-Hausen (RPH) model proposed a circuit architecture to explain this phenomenon, relying on an inhibitory wide-field pool cell to aggregate global motion and subsequently inhibit elementary motion detectors. Here we combine a whole-brain connectome of Drosophila with biophysical simulations to identify a reciprocal connection between T4a motion detectors and the wide-field ventral Centrifugal Horizontal cell. The anatomical feedback from vCH lands on T4a axon terminals; simulated dendrites generate local direction-selective responses, whereas the terminals become selective for relative motion. The isolated reciprocal circuit is sufficient for this selectivity which is abolished by removing the return inhibition. Opponent-motion and interocular pathways strengthen the same computation. Thus, a single neuron using the biophysical mechanism of shunting inhibition, corresponding to an equilibrium potential close to the resting potential, can support distinct visual operations in separate compartments: local motion in its dendrites and relative motion in its axon.

_Abstract reproduced under CC-BY (publisher license, via OpenAlex)._

Topics: [Connectomics & Brain Mapping](https://space-kitty.com/topics/connectomics)

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