# Connectome-constrained networks predict neural activity across the fly visual system

*PRI Rank #9 · Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-research/2026/rank-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 74 |
| Journal | Nature |
| Year | 2024 |
| DOI | 10.1038/s41586-024-07939-3 |
| Corresponding authors | Srinivas C. Turaga |
| Institution | Tübingen University, Germany |

**Ranking page:** [Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026](https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-research/2026)

**Paper link:** [10.1038/s41586-024-07939-3](https://doi.org/10.1038/s41586-024-07939-3)

## Topics

Connectome · Drosophila visual system · optic lobe motion pathways · 64 cell types · Synaptic connectivity · Neuronal activity · visual motion detection · deep learning optimization · Neuronal activity · Synaptic connectivity · mechanistic modeling · experimentally testable predictions · Synaptic connectivity · Connectome · Drosophila melanogaster · neural computation · model network optimization · biologically-constrained models

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Neurobiology and Insect Physiology Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/neurobiology-and-insect-physiology-research/2026. Accessed 2026-07-21.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```