The Visual Umwelt of primates and Hippocampal Representations of Space
Bibliographic record
Abstract
Evolution sculpts the brain's sensory adaptations. Because these adaptations differ markedly across species, it is challenging for humans to fully comprehend how other animals perceive the world. For a nocturnal mouse, the subjective sensory world-its Umwelt-is dominated by odors, sounds, and textures, with visual input playing a secondary role. In contrast, the Umwelt of a diurnal primate is primarily visual, composed of colors, shapes, and hues, with less emphasis on olfaction, audition, or tactile cues. In mice and rats, hippocampal place cells are activated when the animal occupies specific locations in allocentric space. In contrast, studies in primates have identified hippocampal view cells, which respond when head-gaze is directed toward certain regions of visual space. The source of this divergence can be traced back to the evolution of mammalian species. Early mammals adapted to nocturnal environments to avoid predation by dinosaurs, becoming heavily dependent on olfaction, audition, touch, proprioception, and vestibular signals for perceiving changes in the environment, while regressing vision. However, one group of mammals started evolving stereoscopic foveal vision to capture insects and fruit in the arboreal environment. Following the mass extinction of dinosaurs, these primate ancestors transitioned to a diurnal niche, re-inventing color vision, which became their superpower. Stereo high-resolution color vision enabled primates to locate distant objects and landmarks efficiently, optimizing foraging while minimizing energy expenditure during navigation. The primate hippocampus then evolved to prioritize representations of visual scenes that support landmark-based navigation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".