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👁️Function

Perception · Building a usable world from noisy sensors and prior expectations.

Reviewed 2026-08·Sources & research·Media credits

Function pages turn anatomy into computations for Perception.

Processes summarise mainstream models, not a single dogma.

Processes

Process 1

A computational step in inference from sensation.

Process 2

A computational step in inference from sensation.

Process 3

A computational step in inference from sensation.

Process 4

A computational step in inference from sensation.

Process 5

A computational step in inference from sensation.

Process 6

A computational step in inference from sensation.

Networks

Network 1
72
Network 2
58
Network 3
41
Network 4
85
Network 5
30

Network 1

Relative emphasis of network 1 in inference from sensation (editorial).

Network 2

Relative emphasis of network 2 in inference from sensation (editorial).

Network 3

Relative emphasis of network 3 in inference from sensation (editorial).

Network 4

Relative emphasis of network 4 in inference from sensation (editorial).

Network 5

Relative emphasis of network 5 in inference from sensation (editorial).

Examples

Example 1

Lab or everyday example of inference from sensation.

Example 2

Lab or everyday example of inference from sensation.

Example 3

Lab or everyday example of inference from sensation.

Example 4

Lab or everyday example of inference from sensation.

Compare network percentages with the profile radar.

Sources & research

  1. Perception as Bayesian inferenceKnill DC; Pouget A · 2004 · Trends in NeurosciencesDOIPubMed
  2. Predictive coding in the visual cortexRao RPN; Ballard DH · 1999 · Nature NeuroscienceDOIPubMed
  3. Object recognition and perceptionDiCarlo JJ; Zoccolan D; Rust NC · 2012 · NeuronDOIPubMed

Media credits

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