Simulating Infant Senses with Age-Tuned Networks
Organizations: Independent.
Abstract
What a newborn sees, hears and feels, and how this changes month by month, has been measured sense by sense, with different methods and in different units. We bring these measurements together for the first two years of life and ask whether small neural networks tuned to a given age can turn them into a quick, inspectable simulation of sensory perception. Each sense's immaturity is written as a fixed, age-indexed filter on the input, and a small prediction network learns behind it over the first year. The filters alone reproduce the order in which the senses mature, by construction. The networks add what filters cannot: in vision they extract far less than their input allows at early stages (at the newborn stage a toy's position cannot be read out, , against 0.57 for a network trained directly on the same input), and a critical period and perceptual narrowing emerge without being built in; in hearing they track what their input allows. The same filters drive the Baby Senses Lab, a free website that shows a user's own images and sounds as a baby of a chosen age might sense them. It is a research and teaching tool, not a diagnostic test.
Figures & tables
| Sense | Birth | 3 months | 6 months | 12–24 months |
|---|---|---|---|---|
| Vision: detail | 1 cycle/degree (20/600); sees bold shapes at 20–30 cm | 2.6 (looking) to 4 (evoked) cycles/degree | 4.8 (looking) to 15 (evoked) cycles/degree | 7.5–10.5 (looking); evoked responses near adult; fine detail improves into preschool |
| Vision: contrast, colour | only strong contrasts; colour limited | medium contrasts; colour much improved | most everyday contrasts; colour near adult | contrast near adult |
| Vision: motion, depth, faces | notices motion; prefers face-like patterns | smooth pursuit; stereopsis begins (3–5 months) | adult-like motion; uses depth when reaching | face perception narrowed to familiar faces (9 months) |
| Hearing | hears from before birth; quiet sounds missed; prefers mother’s voice | thresholds still well above adult | many basic abilities near adult; vowels tuned to home language | non-native consonants harder (10–12 months); localisation and hearing in noise keep improving |
| Touch and body sense | most mature sense; responds everywhere; rooting and grasp | explores with hands and mouth | explores textures with fingers; combines body sense and vision in reaching | fine touch keeps sharpening; body sense supports standing and walking |
| Taste and smell | prefers odours met in the womb | – | – | – (not modelled) |
| Study | Senses and input | Networks and objective | Seeds |
|---|---|---|---|
| Main study (Fig. 3 ) | Vision (32 32 colour), binaural hearing (2 32 bands), touch (8 8 patch), body position; one toy, a moving hand and an occluding screen | Encoder, residual dynamics over a memory window and decoder; reconstruct and predict next frame; four age stages in one run; supervised information ceiling per age | 5 |
| Cross-sense study (Fig. 4 a, b, d, e) | Vision (12 12), hearing (24 bands), touch (16 taxels) rendered from one latent world | Recurrent, transformer, predictive-coding and latent-prediction networks at 20k core parameters; next-step prediction | 3 (5 for onset order) |
| Age-modelling study (Fig. 4 c) | Vision (shape-versus-texture gratings); vision plus audio for onset order | Compact convolutional networks, fixed or growing; classification; blur windows of 3–9 months | 3–7 |
| Follow-up runs (Fig. 7 ) | As the main study; vision and hearing | Main-study networks continued to 18 and 24 months; and latent prediction against pixel prediction, 0–12 months | 3 |