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How does the brown rat see?

The brown rat (Rattus norvegicus) is a mammal in the order Rodentia. Its eyes belong to the vision type Small prey mammal (UV): 2-3 cones often incl. UV (mouse, rat, hamster, dunnart), very low acuity, near-panoramic field.

Measured in this species: colour, sharpness, field of view, foveas, night vision and motion (flicker fusion). Measured core: measured values on at least 3 of the 6 dials. Every value below carries its evidence level and sources; nothing is typed by hand.

Sample scene drawn in code: a face with red lips, a green shirt, red and green apples, flowers and a colour strip, as a person sees it.
The sample scene as a person sees it.
The same sample scene rendered by the See Like Animals engine for the brown rat's eyes, using the values in the table below.
The same scene rendered for the brown rat (60° field of view, daylight).
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What stands out

The six dials

Evidence levels: how the tiers work. "Measured" means a value measured in this species; "Estimated" values come from a close relative or an eye-size formula.

Vision values for the brown rat (Rattus norvegicus), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
2 receptor classes: 358 nm (UVS), 509 nm (MWS (green))
measured in this species
Measured[1]
Ultraviolet
yes: at least one receptor peaks in the ultraviolet
Measured
SharpnessAcuity
1.5 cycles per degree
median of 2 behavioural rows (method priority rule)
Measured[2][3]
Field of viewBinocular overlap
55.5°
median of 1 rows (eyes-at-rest rows preferred)
Measured[4]
Eye placement
lateral
frontal if binocular overlap >= 60 deg, else lateral
Derived[4]
Sharp zones (foveas)Number of foveas
0
fovea_present / area_centralis_type (retinal topography; count 1 = fovea present, 0 = none)
Measured[5]
Fovea type
horizontal streak
Measured[5]
Night visionActivity pattern
nocturnal
mode of 6 rows (of 6 rows): cathemeral; nocturnal; scotopic
Measured (not re-verified)[6][7][8][9][10][3]
Pupil shape
circular
Group default[11]
Reflective layer (tapetum)
no
Measured[12]
Rods vs cones
rod-dominated
nocturnal -> rod-dominated; crepuscular / cathemeral / mixed -> mixed; diurnal -> cone-dominated
Derived[6][7][8][9][10][3]
Motion (flicker fusion)Flicker fusion frequency
51 Hz
median of 1 bright-light rows (behavioural/whole-eye ERG rows; all rows: [51.0]); cff_hz: dim-light rows (bright-light rows used) set aside (labelled alternative: 21.6, 25.0, 39.0, 42.0, 43.0, 47.0)
Measured[13]

Related animals

More mammals: all mammals with measured vision data.

Sources

  1. Frazer SA, Baghalian M, et al. 2024. Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD). GigaScience 13:giae073; VPOD v1.3 data release. doi.org/10.5281/zenodo.19051998
  2. Kirk EC, Kay RF 2004. The evolution of high visual acuity in the Anthropoidea. In Anthropoid Origins, Table 1 (behavioural acuity). doi.org/10.1007/978-1-4419-8873-7_20
  3. Veilleux CC, Kirk EC 2014. Visual acuity in mammals. Brain Behav Evol 83:43, Supplementary Table 1 (cleaned CSV in Evo-M1-Trait-Data). doi.org/10.1159/000357830
  4. Heffner RS, Heffner HE 1992. Visual factors in sound localization in mammals. J Comp Neurol 317:219, Table 1 (via Evo-M1 sensory merge). doi.org/10.1002/cne.903170302
  5. Kopania EEK, Clark NL. 2025. Mammalian retinal specializations for high acuity vision evolve in response to both foraging strategies and morphological constraints. Evolution Letters 9: qrae072. Supplementary Tables S1-S2.. doi.org/10.1093/evlett/qrae072
  6. Borges R, Johnson WE, O'Brien SJ, Gomes C, Heesy CP, Antunes A (2018) Adaptive genomic evolution of opsins reveals that early mammals flourished in nocturnal environments. BMC Genomics 19:121
  7. Wilman et al. 2014 EltonTraits 1.0, MamFuncDat.txt. doi.org/10.6084/m9.figshare.3559887.v1
  8. Maor R, Dayan T, Ferguson-Gow H, Jones KE. 2017. Temporal niche expansion in mammals from a nocturnal ancestor after dinosaur extinction. Nature Ecology & Evolution 1:1889-1895. Supplementary Table 1. doi.org/10.1038/s41559-017-0366-5
  9. Schmitz L, Motani R. 2011. Science 332:705-708, SOM. doi.org/10.1126/science.1200043
  10. Moura et al. 2024. A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases. PLoS Biol 22:e3002658. TetrapodTraits v3.0.1.. doi.org/10.5281/zenodo.22536349
  11. Banks MS, Sprague WW, Schmoll J, Parnell JAQ, Love GD. 2015. Science Advances 1:e1500391. doi.org/10.1126/sciadv.1500391
  12. Dunn D, Baker J, Sorden S. 2017. Eye and Associated Glands Boorman's Pathology of the Rat :251-278. europepmc.org/article/PMC/PMC7148627
  13. Lafitte A, Sordello R, Legrand M, Nicolas V, Obein G, Reyjol Y. 2022. A flashing light may not be that flashy: A systematic review on critical fusion frequencies. PLoS ONE 17(12): e0279718. S10 File (CFF database). doi.org/10.1371/journal.pone.0279718
  14. Healy K, McNally L, Ruxton GD, Cooper N, Jackson AL. 2013. Metabolic rate and body size are linked with perception of temporal information. Animal Behaviour 86:685-696. Table 1. doi.org/10.1016/j.anbehav.2013.06.018
  15. Inger R, Bennie J, Davies TW, Gaston KJ. 2014. Potential biological and ecological effects of flickering artificial light. PLoS ONE 9(5): e98631. Table 3. doi.org/10.1371/journal.pone.0098631

Every value cites its sources (all sources). Data: catalogue-v1, built 2026-09-29. Accuracy notes: how accurate is this?