Evidence map›Paper›PMID 41713413›Full record

ArticleNeuron2026

Specialized parallel pathways for adaptive control of visual object pursuit.

Matthew F Collie, Chennan Jin, Victoria Rockwell, Emily Kellogg, Quinn X Vanderbeck, Alexandra K Hartman, Stephen L Holtz, Rachel I Wilson

Abstract read
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In one paragraph

Article in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Sexual dimorphism in the complete connectome of thebioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Matthew F CollieDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Chennan JinDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Victoria RockwellDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Emily KelloggDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Quinn X VanderbeckDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Alexandra K HartmanDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Stephen L HoltzDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Rachel I WilsonDepartment of Neurobiology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: rachel_wilson@hms.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To pursue a moving visual object, the brain must continuously steer the object to the center of the visual field via feedback. The gain of this control loop is flexible, yet the biological mechanisms underlying such adaptive control are not well understood. Here, we show that adaptive control in the Drosophila pursuit system involves two parallel pathways. One detects objects in the periphery and steers them toward the center of the visual field. The other detects objects near the center of the visual field and steers them to the visual midline while also increasing forward velocity. This latter pathway is flexible: gain increases when the object is moving away from the midline and when the pursuer is running fast-situations that demand rapid steering-and this pathway is preferentially recruited during arousal. Our findings demonstrate how adaptive control can emerge from parallel sensory-motor pathways with specialized properties.

Indexed as

Adaptation, PhysiologicalMotion PerceptionPursuit, SmoothVisual FieldsVisual PathwaysAnimalsArousalDrosophilaPhotic Stimulationaggressionarousalbehavioral statechasingcourtshipdirection selectivityfeedback controlfixationgain schedulingin vivo electrophysiology

Identifiers

PMID41713413

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.