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📚Function

Learning · How practice, prediction and reward reshape circuits over time.

Reviewed 2026-08·Sources & research·Media credits

Function pages turn anatomy into computations for Learning.

Processes summarise mainstream models, not a single dogma.

Processes

Process 1

A computational step in encoding change through practice.

Process 2

A computational step in encoding change through practice.

Process 3

A computational step in encoding change through practice.

Process 4

A computational step in encoding change through practice.

Process 5

A computational step in encoding change through practice.

Process 6

A computational step in encoding change through practice.

Networks

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

Network 1

Relative emphasis of network 1 in encoding change through practice (editorial).

Network 2

Relative emphasis of network 2 in encoding change through practice (editorial).

Network 3

Relative emphasis of network 3 in encoding change through practice (editorial).

Network 4

Relative emphasis of network 4 in encoding change through practice (editorial).

Network 5

Relative emphasis of network 5 in encoding change through practice (editorial).

Examples

Example 1

Lab or everyday example of encoding change through practice.

Example 2

Lab or everyday example of encoding change through practice.

Example 3

Lab or everyday example of encoding change through practice.

Example 4

Lab or everyday example of encoding change through practice.

Compare network percentages with the profile radar.

Sources & research

  1. The molecular biology of memory storage: a dialogue between genes and synapsesKandel ER · 2001 · ScienceDOIPubMed
  2. Learning and neural plasticityBuonomano DV; Merzenich MM · 1998 · Annual Review of NeuroscienceDOIPubMed
  3. Dopamine, learning and motivationWise RA · 2004 · Nature Reviews NeuroscienceDOIPubMed

Media credits

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