1op Senses · pre-alpha animal perception interface
Every way of seeing the world
1op Senses is an interactive perception layer for animal sensing models. It maps biological sensing modes into EML-inspired model sketches and browser demos across vision, hearing, smell, touch, electroreception, magnetoreception, and infrared. This is pre-alpha product work, not biological proof, hardware validation, medical/veterinary advice, or production autonomy.
Vision
3 speciesCat
Vision
Dichromatic — two cones, no red — plus a tapetum lucidum that returns photons to the retina for a second pass.
S(λ) = exp(-((λ - λ_peak)² / (2σ²))) ; tapetum_gain ∈ [1, 130]
Mantis shrimp
Vision
16 photoreceptor channels spanning 300–720 nm plus 4 polarization channels. UV-fluorescent patches that humans see as plain coral light up as blue-violet glow in the mantis view.
S_n(λ) = exp(-((λ - λ_n)² / (2σ²))) for n ∈ {1, …, 16}Bee
Vision
Trichromat with UV — three Gaussian cones at 350, 440, 540 nm replace human RGB. Flowers paint UV-reflective "nectar guides" invisible to us; for the bee, every sunflower has a runway.
S_uv(λ), S_blue(λ), S_green(λ) = exp(-((λ - λ_n)² / (2σ²)))
Hearing
3 speciesBat
Hearing
Active sonar. The bat broadcasts an ultrasonic chirp and ranges the world from the round-trip echo time. The world's first FMCW radar — 50 million years old. Five EML files: chirp, echo, Doppler, beam, matched filter.
range(t) = c · Δt / 2 ; c = 343 m/s
Dolphin
Hearing
Underwater FMCW sonar — the same matched-filter math the bat uses, but at 1500 m/s in seawater instead of 343 in air. ~4.4× the reach for the same time budget; click rate ramps up as targets close in.
range(t) = c · Δt / 2 ; c = 1500 m/s
Owl
Hearing
Asymmetric ear placement — one higher than the other — turns the inter-aural time delay into a 3D localization vector. Hunts mice in pure darkness, by sound alone.
Δt = d · sin(θ) / c ⇒ θ = arcsin(c · Δt / d)
Electroreception
2 speciesShark
Electroreceptionno human analog
The ampullae of Lorenzini detect electric fields down to 5 nV/cm. A buried fish is invisible in turbid water but its bioelectric dipole pulls the shark in to within 30 cm.
|E| = p · |cos θ| / (4πε r³)
Electric eel
Electroreceptionno human analog
Active electroreception — the eel generates its own dipole field and reads how nearby objects distort it. Conductive prey raise |E| at the skin electrodes; insulating rocks lower it. Inverse problem: object class from the polarity of the perturbation pattern. Impedance imaging.
ΔE / E ≈ Γ · (a / r)³ , Γ = (σ_obj − σ_w) / (σ_obj + 2σ_w)
Local sensory instrument prototype
Animal senses explorer
A browser-only instrument for mapping biological sensing models into visual and audio placeholders. It uses local data, Web Audio oscillator tones, no microphone, no hardware, and no external network calls.
Active species / modality
Cat vision
Dichromatic vision with low-light gain from the tapetum lucidum.
Perception legend
Public candidate · local browser prototype
Operator Senses
Explore simple reciprocal operator kernels as visual and browser-audio mappings. Operator Senses is a pre-alpha sensory-math playground for simple reciprocal operator kernels. It is not a theorem prover, not a physics claim, and not a safety system.
y=2*x+3
alpha = x/(2*x+3); beta = (2*x+3)/x; identity sample alpha*beta = 1
beta: 1.4
identity: 1
event n: 35
beta: 0.5
identity: 1
event n: 2
beta: -1
identity: 1
event n: -1
beta: -4
identity: 1
event n: -1
beta: 8
identity: 1
event n: 2
beta: 5
identity: 1
event n: 5
beta: 3.5
identity: 1
event n: 14
beta: 2.6
identity: 1
event n: 65
Local public candidate · existing EML
EML Playground
Choose a small existing EML expression, inspect a toy tree, map it into visuals and browser Web Audio, and preview a local private evidence JSON record. This does not create a new EML language.
eml(1, 1)
balanced two-input node with a compact center pulse. short stable tone with a light rise and fall.
Copy evidence state: idle
{
"capcard_public_marketplace": false,
"certified_safety_claim": false,
"depth_estimate": 1,
"example_id": "eml_constant_balance",
"expression": "eml(1, 1)",
"huggingface_upload_performed": false,
"not_claimed": [
"not a theorem proof",
"not a Mathlib replacement",
"not certified safety",
"not production controller evidence"
],
"petal_api_upload_performed": false,
"production_controller_claim": false,
"public_claim": false,
"senses_mapping": {
"visual": "centered pulse",
"audio": "stable oscillator tone",
"interaction": "single-step constant example"
},
"theorem_proof_claim": false
}Same language for the chip and the cat.
The direction is one model vocabulary that can describe biological sensing, simulation, visualization, and future hardware targets. Today this is local product groundwork: interactive sensory interfaces, EML-shaped model sketches, and carefully scoped artifacts rather than a claim of certified autonomy or hardware-validated deployment.